<!DOCTYPE html>
<html lang="en-US">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>set_metrology_model_param [HALCON算子参考手册]</title>
<style type="text/css">
      body {
    color: #000000;
    background-color: #ffffff;
    margin: 0;
    font-family: Arial, Helvetica, sans-serif;
}

.body_main {
    margin-left: 35px;
    margin-right: 35px;
}

@media screen and (min-width:992px) {

    .body_main {
        margin-left: 10%;
        margin-right: 10%;
    }

    table.toctable {
        width: 80%
    }
}

@media screen and (min-width:1400px) {

    .body_main {
        margin-left: 15%;
        margin-right: 15%;
    }

    table.toctable {
        width: 70%
    }
}

body>div ul ul {
    margin-left: inherit;
}

a:link {
    color: #0044cc;
}

a:link,
a:visited {
    text-decoration: none;
}

a:link:hover,
a:visited:hover {
    text-decoration: underline;
}

th {
    text-align: left;
}

h1,
h2,
h3,
h4,
h5,
h6 {
    text-rendering: optimizeLegibility;
    color: #666666;
}

code {
    font-family: monospace,monospace;
}

h1 a.halconoperator {
    font-family: Arial, Helvetica, sans-serif;
    color: #666666;
}

h2 a.halconoperator {
    font-family: Arial, Helvetica, sans-serif;
    color: #666666;
}

hr {
    border: 0;
    border-top: solid 1px #f28d26;
}

.pre {
    display: block;
    padding-bottom: 1ex;
    font-family: monospace;
    white-space: pre;
}

pre {
    font-family: monospace, monospace;
    padding: 1ex;
    white-space: pre-wrap;
}

.toc {
    font-size: 80%;
    border-top: 1px dashed #f28d26;
    border-bottom: 1px dashed #f28d26;
    padding-top: 5px;
    padding-bottom: 5px;
}

.inv {
    margin: 0;
    border: 0;
    padding: 0;
}

.banner {
    color: #666666;
    padding-left: 1em;
}

.logo {
    background-color: white;
}

.keyboard {
    font-size: 80%;
    padding-left: 3px;
    padding-right: 3px;
    border-radius: 5px;
    border-width: 1px;
    border-style: solid;
    border-color: #f28d26;
    background-color: #f3f3f3;
}

.warning {
    margin-top: 2ex;
    margin-bottom: 1ex;
    padding: 10px;
    text-align: center;
    border: 1px solid;
    color: #bb0000;
    background-color: #fff7f7
}

.imprint {
    margin-top: 1ex;
    font-size: 80%;
    color: #666666;
}

.imprinthead {
    font-weight: bolder;
    color: #666666;
}

.indexlink {
    text-align: right;
    padding-bottom: 5px;
}

.postscript {
    margin-top: 2ex;
    font-size: 80%;
    color: #666666
}

.evenrow {
    background-color: #e7e7ef;
    vertical-align: top;
}

.oddrow {
    background-color: #f7f7ff;
    vertical-align: top;
}

.headrow {
    background-color: #97979f;
    color: #ffffff;
    vertical-align: top;
}

.logorow {
    vertical-align: top;
}

.error {
    color: red;
}

.var {
    font-style: italic
}

.halconoperator {
    font-family: monospace, monospace;
}

span.operator {
    font-family: monospace, monospace;
}

span.procedure {
    font-family: monospace, monospace;
}

span.operation {
    font-family: monospace, monospace;
}

span.feature {
    font-family: Arial, Helvetica, Homerton, sans-serif;
}

ul {
    padding-left: 1.2em;
}

li.dot {
    list-style-type: square;
    color: #f28d26;
}

.breadcrumb {
    font-size: 80%;
    color: white;
    background-color: #062d64;
    margin-bottom: 20px;
    padding-left: 35px;
    padding-right: 35px;
    padding-bottom: 15px;
}

.webbar {
    font-size: 80%;
    background-color: #dddddd;
    margin-top: 0px;
    margin-left: -35px;
    margin-right: -35px;
    margin-bottom: 0px;
    padding-top: 5px;
    padding-left: 35px;
    padding-right: 35px;
    padding-bottom: 5px;
}

.footer {
    display: flex;
    flex-wrap: wrap;
    justify-content: space-between;
    border-top: 1px dashed #f28d26;
    font-size: 80%;
    color: #666666;
    padding-bottom: 8px;
}

.footer .socialmedia a {
    padding-left: 7px;
}

.socialmedia {
    padding-top: 10px;
}

.copyright {
    margin-top: 19px;
}

.breadcrumb a {
    color: #ffffff;
    border-bottom: 1px solid white;
}

.breadcrumb a:link:hover,
.breadcrumb a:visited:hover {
    text-decoration: none;
    border-bottom: none;
}

.heading {
    margin-top: 1ex;
    font-size: 110%;
    font-weight: bold;
    color: #666666;
}

.text {
    color: black;
}

.example {
    font-size: 80%;
    background-color: #f3f3f3;
    border: 1px dashed #666666;
    padding: 10px;
}

.displaymath {
    display: block;
    text-align: center;
    margin-top: 1ex;
    margin-bottom: 1ex;
}

.title {
    float: left;
    padding-top: 3px;
    padding-bottom: 3px;
}

.signnote {
    font-family: Arial, Helvetica, Homerton, sans-serif;
    font-size: 80%;
    color: #666666;
    font-weight: lighter;
    font-style: italic
}

.par {
    margin-bottom: 1.5em;
}

.parhead {
    text-align: right;
}

.parname {
    float: left;
}

.pardesc {
    font-size: 85%;
    margin-top: 0.5em;
    margin-bottom: 0.5em;
    margin-left: 2em;
}

.parcat {
    color: #666;
    font-weight: bold;
}

*[data-if=cpp],
*[data-if=c],
*[data-if=dotnet],
*[data-if=com],
*[data-if=python] {
    display: none;
}

.tabbar {
    text-align: right;
    border-bottom: 1px solid #f28d26;
    margin-bottom: 0.5em;
}

ul.tabs {
    padding-top: 3px;
    padding-bottom: 3px;
    margin-top: 10px;
    margin-bottom: 0;
    font-size: 80%
}

ul.tabs li {
    padding-top: 3px;
    padding-bottom: 3px;
    display: inline;
    overflow: hidden;
    list-style-type: none;
    margin: 0;
    margin-left: 8px;
    border-top: 1px solid #666;
    border-left: 1px solid #666;
    border-right: 1px solid #666;
}

ul.tabs li.active {
    border-left: 1px solid #f28d26;
    border-right: 1px solid #f28d26;
    border-top: 1px solid #f28d26;
    border-bottom: 1px solid #fff;
}

ul.tabs li.inactive {
    background-color: #eee;
}

ul.tabs li a {
    padding-left: 5px;
    padding-right: 5px;
    color: #666;
}

ul.tabs li a:link:hover {
    text-decoration: none;
}

ul.tabs li.inactive a {
    color: #666;
}

ul.tabs li.active a {
    color: black;
}

dl.generic dd {
    margin-bottom: 1em;
}

.pari {
    color: olive;
}

.paro {
    color: maroon;
}

.comment {
    font-size: 80%;
    color: green;
    white-space: nowrap;
}

table.grid {
    border-collapse: collapse;
}

table.grid td {
    padding: 5px;
    border: 1px solid;
}

table.layout {
    border: 0px;
}

table.layout td {
    padding: 5px;
}

table.table {
    border-collapse: collapse;
}

table.table td {
    padding: 5px;
    border-left: 0px;
    border-right: 0px;
}

table.table tr:last-child {
    border-bottom: 1px solid;
}

table.table th {
    padding: 5px;
    border-top: 1px solid;
    border-bottom: 1px solid;
    border-left: 0px;
    border-right: 0px;
}

.details_summary {
    cursor: pointer;
}

table.toctable {
    width: 100%;
}

table.toctable col:first-child {
    width: 20%;
}

table.toctable col:nth-last-child(2) {
    width: 8%;
}

table.altcolored tr:nth-child(even) {
    background-color: #f3f3f3;
}

    </style>
<!--OP_REF_STYLE_END-->
<script>
    <!--
var active_lang='hdevelop';function switchVisibility(obj,active_lang,new_lang)
{var display_style='inline';
for(var i=0;i<obj.length;i++)
{if(obj.item(i).getAttribute('data-if')==new_lang)
{obj.item(i).style.display=display_style;}
if(obj.item(i).getAttribute('data-if')==active_lang)
{obj.item(i).style.display='none';}}
return;}
function toggleLanguage(new_lang,initial)
{if(active_lang!=new_lang)
{var lis=document.getElementsByTagName('li');for(var i=0;i<lis.length;i++)
{if(lis.item(i).id=='syn-'+new_lang)
{lis.item(i).className='active';}
else
{lis.item(i).className='inactive';}}
var divs=document.getElementsByTagName('div');var spans=document.getElementsByTagName('span');switchVisibility(divs,active_lang,new_lang);switchVisibility(spans,active_lang,new_lang);if(!initial)
{setCookie("halcon_reference_language",new_lang,null,null);}
active_lang=new_lang;}
return;}
function setCookie(name,value,domain,exp_offset,path,secure)
{localStorage.setItem(name,value);}
function getCookie(name)
{return localStorage.getItem(name);}
function initialize()
{var qs=location.href.split('?')[1];var qs_lang_raw=location.href.split('interface=')[1];var qs_lang;if(qs_lang_raw)
{qs_lang=qs_lang_raw.split('#')[0];}
var cookie_lang=getCookie("halcon_reference_language");var new_lang;if((qs_lang=="hdevelop")||(qs_lang=="dotnet")||(qs_lang=="python")||(qs_lang=="cpp")||(qs_lang=="c"))
{new_lang=qs_lang;setCookie("halcon_reference_language",new_lang,null,null);}
else if((cookie_lang=="hdevelop")||(cookie_lang=="dotnet")||(cookie_lang=="python")||(cookie_lang=="cpp")||(cookie_lang=="c"))
{new_lang=cookie_lang;}
else
{new_lang="hdevelop";}
toggleLanguage(new_lang,1);return;}
-->

  </script>
</head>
<body onload="initialize();">
<div class="breadcrumb">
<br class="inv"><a href="index.html">目录</a> / <a href="toc_2dmetrology.html">2D 度量</a><br class="inv">
</div>
<div class="body_main">
<div class="tabbar"><ul class="tabs">
<li id="syn-hdevelop" class="active"><a href="javascript:void(0);" onclick="toggleLanguage('hdevelop')" onfocus="blur()">HDevelop</a></li>
<li id="syn-dotnet" class="inactive"><a href="javascript:void(0);" onclick="toggleLanguage('dotnet')" onfocus="blur()">.NET</a></li>
<li id="syn-python" class="inactive"><a href="javascript:void(0);" onclick="toggleLanguage('python')" onfocus="blur()">Python</a></li>
<li id="syn-cpp" class="inactive"><a href="javascript:void(0);" onclick="toggleLanguage('cpp')" onfocus="blur()">C++</a></li>
<li id="syn-c" class="inactive"><a href="javascript:void(0);" onclick="toggleLanguage('c')" onfocus="blur()">C</a></li>
</ul></div>
<div class="indexlink">
<a href="index_classes.html"><span data-if="dotnet" style="display:none;">类别</span><span data-if="cpp" style="display:none;">类别</span></a><span data-if="dotnet" style="display:none;"> | </span><span data-if="cpp" style="display:none;"> | </span><a href="index_by_name.html">算子列表</a>
</div>
<!--OP_REF_HEADER_END-->
<h1 id="sec_name">
<span data-if="hdevelop" style="display:inline;">set_metrology_model_param</span><span data-if="c" style="display:none;">T_set_metrology_model_param</span><span data-if="cpp" style="display:none;">SetMetrologyModelParam</span><span data-if="dotnet" style="display:none;">SetMetrologyModelParam</span><span data-if="python" style="display:none;">set_metrology_model_param</span> (算子名称)</h1>
<h2>名称</h2>
<p><code><span data-if="hdevelop" style="display:inline;">set_metrology_model_param</span><span data-if="c" style="display:none;">T_set_metrology_model_param</span><span data-if="cpp" style="display:none;">SetMetrologyModelParam</span><span data-if="dotnet" style="display:none;">SetMetrologyModelParam</span><span data-if="python" style="display:none;">set_metrology_model_param</span></code> — Set parameters that are valid for the entire metrology model.</p>
<h2 id="sec_synopsis">参数签名</h2>
<div data-if="hdevelop" style="display:inline;">
<p>
<code><b>set_metrology_model_param</b>( :  : <a href="#MetrologyHandle"><i>MetrologyHandle</i></a>, <a href="#GenParamName"><i>GenParamName</i></a>, <a href="#GenParamValue"><i>GenParamValue</i></a> : )</code></p>
</div>
<div data-if="c" style="display:none;">
<p>
<code>Herror <b>T_set_metrology_model_param</b>(const Htuple <a href="#MetrologyHandle"><i>MetrologyHandle</i></a>, const Htuple <a href="#GenParamName"><i>GenParamName</i></a>, const Htuple <a href="#GenParamValue"><i>GenParamValue</i></a>)</code></p>
</div>
<div data-if="cpp" style="display:none;">
<p>
<code>void <b>SetMetrologyModelParam</b>(const HTuple&amp; <a href="#MetrologyHandle"><i>MetrologyHandle</i></a>, const HTuple&amp; <a href="#GenParamName"><i>GenParamName</i></a>, const HTuple&amp; <a href="#GenParamValue"><i>GenParamValue</i></a>)</code></p>
<p>
<code>void <a href="HMetrologyModel.html">HMetrologyModel</a>::<b>SetMetrologyModelParam</b>(const HString&amp; <a href="#GenParamName"><i>GenParamName</i></a>, const HTuple&amp; <a href="#GenParamValue"><i>GenParamValue</i></a>) const</code></p>
<p>
<code>void <a href="HMetrologyModel.html">HMetrologyModel</a>::<b>SetMetrologyModelParam</b>(const HString&amp; <a href="#GenParamName"><i>GenParamName</i></a>, const HString&amp; <a href="#GenParamValue"><i>GenParamValue</i></a>) const</code></p>
<p>
<code>void <a href="HMetrologyModel.html">HMetrologyModel</a>::<b>SetMetrologyModelParam</b>(const char* <a href="#GenParamName"><i>GenParamName</i></a>, const char* <a href="#GenParamValue"><i>GenParamValue</i></a>) const</code></p>
<p>
<code>void <a href="HMetrologyModel.html">HMetrologyModel</a>::<b>SetMetrologyModelParam</b>(const wchar_t* <a href="#GenParamName"><i>GenParamName</i></a>, const wchar_t* <a href="#GenParamValue"><i>GenParamValue</i></a>) const  <span class="signnote">
            (
            Windows only)
          </span></code></p>
</div>
<div data-if="com" style="display:none;"></div>
<div data-if="dotnet" style="display:none;">
<p>
<code>static void <a href="HOperatorSet.html">HOperatorSet</a>.<b>SetMetrologyModelParam</b>(<a href="HTuple.html">HTuple</a> <a href="#MetrologyHandle"><i>metrologyHandle</i></a>, <a href="HTuple.html">HTuple</a> <a href="#GenParamName"><i>genParamName</i></a>, <a href="HTuple.html">HTuple</a> <a href="#GenParamValue"><i>genParamValue</i></a>)</code></p>
<p>
<code>void <a href="HMetrologyModel.html">HMetrologyModel</a>.<b>SetMetrologyModelParam</b>(string <a href="#GenParamName"><i>genParamName</i></a>, <a href="HTuple.html">HTuple</a> <a href="#GenParamValue"><i>genParamValue</i></a>)</code></p>
<p>
<code>void <a href="HMetrologyModel.html">HMetrologyModel</a>.<b>SetMetrologyModelParam</b>(string <a href="#GenParamName"><i>genParamName</i></a>, string <a href="#GenParamValue"><i>genParamValue</i></a>)</code></p>
</div>
<div data-if="python" style="display:none;">
<p>
<code>def <b>set_metrology_model_param</b>(<a href="#MetrologyHandle"><i>metrology_handle</i></a>: HHandle, <a href="#GenParamName"><i>gen_param_name</i></a>: str, <a href="#GenParamValue"><i>gen_param_value</i></a>: MaybeSequence[Union[str, float, int]]) -&gt; None</code></p>
</div>
<h2 id="sec_description">描述</h2>
<p><code><span data-if="hdevelop" style="display:inline">set_metrology_model_param</span><span data-if="c" style="display:none">set_metrology_model_param</span><span data-if="cpp" style="display:none">SetMetrologyModelParam</span><span data-if="com" style="display:none">SetMetrologyModelParam</span><span data-if="dotnet" style="display:none">SetMetrologyModelParam</span><span data-if="python" style="display:none">set_metrology_model_param</span></code> sets or changes parameters that are
valid for the entire metrology model <a href="#MetrologyHandle"><i><code><span data-if="hdevelop" style="display:inline">MetrologyHandle</span><span data-if="c" style="display:none">MetrologyHandle</span><span data-if="cpp" style="display:none">MetrologyHandle</span><span data-if="com" style="display:none">MetrologyHandle</span><span data-if="dotnet" style="display:none">metrologyHandle</span><span data-if="python" style="display:none">metrology_handle</span></code></i></a>.
</p>
<p>For an explanation of the concept of 2D 度量 see the
introduction of chapter <a href="toc_2dmetrology.html">2D 度量</a>.
</p>
<p>The following values for <a href="#GenParamName"><i><code><span data-if="hdevelop" style="display:inline">GenParamName</span><span data-if="c" style="display:none">GenParamName</span><span data-if="cpp" style="display:none">GenParamName</span><span data-if="com" style="display:none">GenParamName</span><span data-if="dotnet" style="display:none">genParamName</span><span data-if="python" style="display:none">gen_param_name</span></code></i></a> and <a href="#GenParamValue"><i><code><span data-if="hdevelop" style="display:inline">GenParamValue</span><span data-if="c" style="display:none">GenParamValue</span><span data-if="cpp" style="display:none">GenParamValue</span><span data-if="com" style="display:none">GenParamValue</span><span data-if="dotnet" style="display:none">genParamValue</span><span data-if="python" style="display:none">gen_param_value</span></code></i></a>
are possible:
</p>
<h3>Calibration</h3>
<p>If both internal camera parameters and the 3D pose of the measurement plane
are set, <a href="apply_metrology_model.html"><code><span data-if="hdevelop" style="display:inline">apply_metrology_model</span><span data-if="c" style="display:none">apply_metrology_model</span><span data-if="cpp" style="display:none">ApplyMetrologyModel</span><span data-if="com" style="display:none">ApplyMetrologyModel</span><span data-if="dotnet" style="display:none">ApplyMetrologyModel</span><span data-if="python" style="display:none">apply_metrology_model</span></code></a> calculates the results
in metric coordinates.
</p>
<dl class="generic">

<dt><b><i><span data-if="hdevelop" style="display:inline">'camera_param'</span><span data-if="c" style="display:none">"camera_param"</span><span data-if="cpp" style="display:none">"camera_param"</span><span data-if="com" style="display:none">"camera_param"</span><span data-if="dotnet" style="display:none">"camera_param"</span><span data-if="python" style="display:none">"camera_param"</span></i>:</b></dt>
<dd>
<p>

Often the internal camera parameters are the result of calibrating
the camera with 该算子 <a href="calibrate_cameras.html"><code><span data-if="hdevelop" style="display:inline">calibrate_cameras</span><span data-if="c" style="display:none">calibrate_cameras</span><span data-if="cpp" style="display:none">CalibrateCameras</span><span data-if="com" style="display:none">CalibrateCameras</span><span data-if="dotnet" style="display:none">CalibrateCameras</span><span data-if="python" style="display:none">calibrate_cameras</span></code></a>
(see <a href="toc_calibration.html">Calibration</a> for the sequence of the parameters
and the underlying camera model).  It is possible to discard the internal
camera parameters by setting <i><span data-if="hdevelop" style="display:inline">'camera_param'</span><span data-if="c" style="display:none">"camera_param"</span><span data-if="cpp" style="display:none">"camera_param"</span><span data-if="com" style="display:none">"camera_param"</span><span data-if="dotnet" style="display:none">"camera_param"</span><span data-if="python" style="display:none">"camera_param"</span></i> to [].</p>
<p>
<i>Default value:</i>  []
</p>
</dd>

<dt><b><i><span data-if="hdevelop" style="display:inline">'plane_pose'</span><span data-if="c" style="display:none">"plane_pose"</span><span data-if="cpp" style="display:none">"plane_pose"</span><span data-if="com" style="display:none">"plane_pose"</span><span data-if="dotnet" style="display:none">"plane_pose"</span><span data-if="python" style="display:none">"plane_pose"</span></i>:</b></dt>
<dd>
<p>
 The 3D pose of the measurement plane
in camera coordinates. It is possible to discard the pose by
setting <i><span data-if="hdevelop" style="display:inline">'plane_pose'</span><span data-if="c" style="display:none">"plane_pose"</span><span data-if="cpp" style="display:none">"plane_pose"</span><span data-if="com" style="display:none">"plane_pose"</span><span data-if="dotnet" style="display:none">"plane_pose"</span><span data-if="python" style="display:none">"plane_pose"</span></i> to [].</p>
<p>
<i>Default value:</i>  []
</p>
</dd>
</dl>
<h3>Definition of a new reference system</h3>
<p>When adding the metrology objects to the metrology model using e.g.,
<a href="add_metrology_object_generic.html"><code><span data-if="hdevelop" style="display:inline">add_metrology_object_generic</span><span data-if="c" style="display:none">add_metrology_object_generic</span><span data-if="cpp" style="display:none">AddMetrologyObjectGeneric</span><span data-if="com" style="display:none">AddMetrologyObjectGeneric</span><span data-if="dotnet" style="display:none">AddMetrologyObjectGeneric</span><span data-if="python" style="display:none">add_metrology_object_generic</span></code></a>,
<a href="add_metrology_object_circle_measure.html"><code><span data-if="hdevelop" style="display:inline">add_metrology_object_circle_measure</span><span data-if="c" style="display:none">add_metrology_object_circle_measure</span><span data-if="cpp" style="display:none">AddMetrologyObjectCircleMeasure</span><span data-if="com" style="display:none">AddMetrologyObjectCircleMeasure</span><span data-if="dotnet" style="display:none">AddMetrologyObjectCircleMeasure</span><span data-if="python" style="display:none">add_metrology_object_circle_measure</span></code></a> etc. the positions and
orientations are given with respect to the image coordinate system which
has its origin in the upper left corner of the image.
In some cases it may be necessary to change the reference system with respect
to which the metrology objects are given. This is for instance the case
when using a shape model to align the metrology model in a new image.
The results from <a href="find_generic_shape_model.html"><code><span data-if="hdevelop" style="display:inline">find_generic_shape_model</span><span data-if="c" style="display:none">find_generic_shape_model</span><span data-if="cpp" style="display:none">FindGenericShapeModel</span><span data-if="com" style="display:none">FindGenericShapeModel</span><span data-if="dotnet" style="display:none">FindGenericShapeModel</span><span data-if="python" style="display:none">find_generic_shape_model</span></code></a> can only be directly used in
<a href="align_metrology_model.html"><code><span data-if="hdevelop" style="display:inline">align_metrology_model</span><span data-if="c" style="display:none">align_metrology_model</span><span data-if="cpp" style="display:none">AlignMetrologyModel</span><span data-if="com" style="display:none">AlignMetrologyModel</span><span data-if="dotnet" style="display:none">AlignMetrologyModel</span><span data-if="python" style="display:none">align_metrology_model</span></code></a> if the reference system of the metrology model
is the same as the system in which the shape model is given (see
<a href="align_metrology_model.html"><code><span data-if="hdevelop" style="display:inline">align_metrology_model</span><span data-if="c" style="display:none">align_metrology_model</span><span data-if="cpp" style="display:none">AlignMetrologyModel</span><span data-if="com" style="display:none">AlignMetrologyModel</span><span data-if="dotnet" style="display:none">AlignMetrologyModel</span><span data-if="python" style="display:none">align_metrology_model</span></code></a> for more details).
</p>
<dl class="generic">

<dt><b><i><span data-if="hdevelop" style="display:inline">'reference_system'</span><span data-if="c" style="display:none">"reference_system"</span><span data-if="cpp" style="display:none">"reference_system"</span><span data-if="com" style="display:none">"reference_system"</span><span data-if="dotnet" style="display:none">"reference_system"</span><span data-if="python" style="display:none">"reference_system"</span></i>:</b></dt>
<dd>

The tuple given in <a href="#GenParamValue"><i><code><span data-if="hdevelop" style="display:inline">GenParamValue</span><span data-if="c" style="display:none">GenParamValue</span><span data-if="cpp" style="display:none">GenParamValue</span><span data-if="com" style="display:none">GenParamValue</span><span data-if="dotnet" style="display:none">genParamValue</span><span data-if="python" style="display:none">gen_param_value</span></code></i></a> should contain
[row, column, angle]. By default the reference system is the image
coordinate system which has its origin in the top left corner.
A new reference system is defined with respect to the image coordinate
system by its translation (row,colum) and its rotation angle (angle).
All components of the  metrology model are converted into the new
reference coordinate system.
In the following figure, the reference system of the metrology model is
set to the center of the image.
<div style="text-align:center"><table style="width:90%;margin-left:auto;margin-right:auto" class="layout">
<col span="1" style="width:90%;">
<tr><td style="text-align:left">
<code><span data-if="hdevelop" style="display:inline">set_metrology_model_param(MetrologyHandle, 'reference_system', [Height/2,Width/2,0])</span><span data-if="c" style="display:none">set_metrology_model_param(MetrologyHandle, "reference_system", [Height/2,Width/2,0])</span><span data-if="cpp" style="display:none">SetMetrologyModelParam(MetrologyHandle, "reference_system", [Height/2,Width/2,0])</span><span data-if="com" style="display:none">SetMetrologyModelParam(MetrologyHandle, "reference_system", [Height/2,Width/2,0])</span><span data-if="dotnet" style="display:none">SetMetrologyModelParam(MetrologyHandle, "reference_system", [Height/2,Width/2,0])</span><span data-if="python" style="display:none">set_metrology_model_param(MetrologyHandle, "reference_system", [Height/2,Width/2,0])</span></code>
</td></tr>
</table></div>

<div style="text-align:center;" class="figure">
<table style="margin-left:auto;margin-right:auto">
<tr>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="405" height="309">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" IwAALiMBeKU/dgAAAAd0SU1FB94GDQgYN61/lmwAAAAdaVRYdENvbW1lbnQAAAAAAENyZWF0ZWQg d2l0aCBHSU1QZC5lBwAAIABJREFUeNrsvWmTXNdxrb17rB4AkKJsSfaP9A1JJOaB8yT5/kpHWGFb pIixqnrA+wHOo6eeWqfRIPXlvciMQADoruGcffbOYWXmyp3Xr1+/Hi0tLS0tLf8A2e0laGlpaWlp o9LS0tLS0kalpaWlpaWNSktLS0tLSxuVlpaWlpY2Ki0tLS0tbVRaWlpaWtqotLS0tLS0tFFpaWlp aWmj0tLS0tLSRqWlpaWlpaWNSktLS0tLG5WWlpaWljYqLS0tLS1tVFpaWlpaWtqotLS0tLS0UWlp aWlpaaPS0tLS0tLSRqWlpaWlpY1KS0tLS0sblZaWlpaWNiotLS0tLS1tVFpaWlpa2qi0tLS0tLRR aWlpaWlpaaPS0tLS0tJGpaWlpaWljUpLS0tLSxuVlpaWlpaWNiotLS0tLW1UWlpaWlraqLS0tLS0 tLRRaWlpaWlpo9LS0tLS0kalpaWlpaWNSktLS0tLSxuVlpaWlpY2Ki0tLS0tbVRaWlpaWlraqLS0 tLS0tFFpaWlpaWmj0tLS0tLSRqWlpaWlpaWNSktLS0tLG5WWlpaWljYqLS0tLS0tbVRaWlpaWtqo tLS0tLS0UWlpaWlpaaPS0tLS0tLSRqWlpaWlpY1KS0tLS0sblZaWlpaWNiotLS0tLS1tVFpaWlpa 2qi0tLS0tLRRaWlpaWlpaaPS0tLS0tJGpaWlpaWljUpLS0tLSxuVlpaWlpaWNiotLS0tLW1UWlpa WlraqLS0tLS0tLRRaWlpaWlpo9LS0tLS0kalpaWlpaWNSktLS0tLSxuVlpaWlpY2Ki0tLS0tbVRa WlpaWlraqLS0tLS0tFFpaWlpaWmj0tLS0tLSRqWlpaWlpaWNSktLS0tLG5WWlpaWljYqLS0tLS0t bVRaWlpaWtqotLS0tLS0UWlpaWlpaaPS0tLS0tLSRqWlpaWlpY1KS0tLS0sblZaWlpaWljYqLS0t LS1tVFpaWlpa2qi0tLS0tLRRaWlpaWlpaaPS0tLS0tJGpaWlpaWljUpLS0tLS0sblZaWlpaWNiot LS0tLW1UWlpaWlraqLS0tLS0tFxb9nsJ3i95/Pjx2N1940u8fv16vH79euzu7o7Xr1+Py8vLcXBw MPb29sb5+fnfPY/d3bGzszPOzs6m99b7d3Z2xs7OzvT/vb29McYYFxcXW7+rf19eXo4xxvRaf1b9 vn6e/r+3tzddV713d3d3upd6bd1Hva6uv95b11G/r/eenZ1N11qfye+rz6+fXV5eTj+fuy9+x+Xl 5fSeupe6Ll5HfXatJ5+X38PX173xudS11HryWXI/1OfwMy4uLjbWgs+y/u3nXfdX38Pv3t/fn76v XnN5eTnOz8+nta/XeJ1q7ep66jrqdQcHB9N1176ovw8PDze+9+LiYuM8TIpxf39jb9UeOTs7m97D PVR/X1xcbKwz3899wTWq58s9NMbYOIO1tru7u2N/f3/6HdfC91vfd3h4uHU+ao35ffyu+/fvt1Fp uZ7URivFnAxCHe7aiHUw9vf3tzY+ldDu7u7GoaJB4GfxMHIj1+Gq39efOuDr9XpSGjywVF6leEpp 1D2WUq3rq2ujEub9l0KjESmpe7JRrs8oxcfXWulwDag0+XuvMb+HCtrGoJTqxcXFhkHl51xcXIzz 8/MNhernXWtEo+DvtvHh99F4+7trzes7bdz5HhtI7icbDz6r+g7up2S4fd3ljNiA8jrpTPjZ8tnX nuR92TngOby8vNxw3uws+Lrr/mp/1x9eG9f6/Px8yxmq76n90pFKyzuJvXMfGEYCPAhUxty49Oj4 +Y5GkjHyQdjb29tQsFSMji6oVJLHXdfL76/XJkXPaM2eNw8+3+vrr+9hVJG8UnuSVhblUdJY1ucd HBxM18Fr5jNZrVYbz7aMFZUmo4BS8nU/jAYc4dX3cs3rs62s6zuS0+Bouda1IuVS7LyGMoTcy3QW kiPivcIoyBEd94eVuCMP/jztU65hOWiOWssB4PryvNV5qGfo81fvq+jFZ5zr62umQeezTg5fG5WW t0YqPJh16GvjU7FTsRKuqPdTedNj8mElVMDPpgfF35UCp9eevDyL4YzyzOi9z0VZvGYfPkIlSejN 0/jygNdnEQJhJFHPgAo5rdFcxEQjRgVkOJDGmd9LCK6ui7CjvXTDezQuvK569vU7Pgc7NQV90RjW etn7TsagvqOu0c+cirP+XXuZTlQpejo79fml7Pns7Eh5rRwx0jCv1+vJKNBRq+t2xMxnw3ss6JpO UILUaj/UWqVoOkFibVRaZoURQh0SKqNSOBcXF9Pmro1cB68OZcFQpbjp9ddr6E0bpqiflzLd39+f ro2KKXm9NiT+eRm3OuBU2Dx8jE6oiPl95WEbhiqFZC9xd3d3nJ2dbRgqesiEuehtU+nQyNN4814J m/DvUsxUaPVcvC42Qs6Blcdv2JARFI0+8118fo4Yue5U5owWaNTqM46OjjbWjc9nsVhsKU8b+Pp5 7QFHqNx7NIg8A/buk2fvKMfPyNErcyQ0inN5KkJsfNbc73TmfAbtZNSesdPQRqXlZ+dY6tBwczNs Jxzjw8WNb2/fcEfC5UvR0VDxsCQFRAW1v7+/FdUYNqo8iWEBH/r6GRVzKeOkLAhr8DOs8HmPNFDJ qKVCAkcFjqgMCRk2oTIqI+Fn5hxbis4qqqnPcMK6/l97o7zllIMyrJSi2rRfUk6E0ZdzIY6GXAzi z2UkkfJ2zhU5v5PyilwjR5C1N+cMFe+/9nDlF51Hci6U+yz9nBFRKoxpo9LyVqnw3dUgc3+caKXi LO/f1U2Eevga5z/szdJIeYPzQNcBYDRU31kHupKd9szptfrQ0eulEaxDlw6bk/JOfhPGYhRoKMl4 /ZzC4/cZxjOUQSVS10/lwegjJbR5LXyOhGB2dnbGYrHYUpz1Oq5lvYdKm68nlGMFXN+ZIM4UJdAQ MyJwJDFXWEA4jWvK55RyiXaAuEet0PkdPDPcy85fJceBBTIpx2cDmCDTdB7bqLRc26gwNJ7zjrm5 nEivA064yrBTGS8qQSp4KnVCTvTyuNHp8fpgJ0/WBykle3mQmYhn8QGValKcBadZ2RPWKCVXSsIR kw28D76VPa/1Ksx+b29vwwNOhtWePyFR5tKYxK9cBJ+vIz/nKqyQHS0WRMj7YpRFA8n8B/dIUpzO 7czBazZcXh8+I5Yv17OuyIHGsaSib0eXdGBY7MCzxLX0c05RJiMqn9nd3d2xWq02ot9UjfZLpY3K e5hT4UZiXoAHxuG5FbSTzTwIrKypvoAqlZzz8AgD0ButXIQVLnHjMgI0cPZEeaBTDsQlyOWZE5pI a+neD68Po5G5PgVGM77XlKR3bsPFBqnyKMF+6btcHMA15/qycMORaiqesPNhz9sFI46kUu+PnSJW baWKwFRAksqKnXA3VJQiaztJhA6Z+KdD4rxhugY6FclIMhnvM8syezsQCRVwwUYblZZrCZUHq2OI f9cflmUygZhyCqUAyhPipq2NzZC9wnsqAiftfY11GMoQ1u/KuKQKKCoHG4akEEoBuqjBlVY8jC5f pqJndObcVP2OSXnCZvxsR3dO9No4OEJwTshGg3mMWvuUhPe68LpdIMD1TQ2MCbrifaemVyt4R8Jz RoD3SojyOgn2lDfk/fu73QtyFcTmKNQ5lARTMiJ1vo75LuZojD4wt0SkIDmKbVRarhQrFSqJtLFT Ypwbr4wFlbI3sev+qbDmkoNzMFi6dsMul5eXU4TE+2PkQPjB115KmpVP6bA7ikgVR6VgfC/2JKkk 3ehJY8d1ODs72yq1tRIsiNJwn6uI5jz5BCXZ23afSiq3ZZ7ARo4eNo1EgvZYzp7gW16XjVqKBAwB ORdVn137hFGlq+Zo3Fht6KIVG/0UiRr6ZUVhKqio7/ba15oVEuHv4PfbkLdRabmWEFdOIbBhC8JH pYhKmTH3YEVQxsYYtHFseqbEhpkUdvevm//m8gi8j/V6Pb2XB4yvdS4l9fOk5HBdK8sy57xE5x/c LGjIytU8qRmUFWfMZ1kJu2w64f82Fu5ncHUbvfYy6DaQSfEzumQ1XGocpaJPebT6m9Q6zjd4DVzN yJ8lWh5XszlyZ38Nn4/Ljw1NuTzb1Xq8fr+eEb8jGUYx1VBK41znoT6PubOGv1reSdx8l7DeBIvw dWz+SrkJQy3GqB22M4lvuIKHx4rV1THOa6Ry2xS18Xrtqc/lGJzgtLdpo+0ksJPHhjOcD3KVUErg W0Hxe53MZiLcRo/Xz3WlZ15Ne17TFHXZOJtvi3kgXiOjEZcvO+pLitAOjcu3/b1OYKezYTYEVw86 Qks9NXO9MQXtpsID96GQBYL7uSLbBF+z98r3mWC6Niot186puCHR1TQ2CMTK6f24PDjlRqisWGVl jisrv+VyuaXYWB7L5kznNahEWHXF/A69Pucd3BjJyixfU1LkjghTye8YY6MSh+uXjJTvkxBKfdd6 vd4o5S4Cxar6MR1IGQZzaKXCAa7hXBWdeajq/wcHB1tRbypZL4XI3AphHVfXJa4y56rsBNjxqKg1 lXbb0DqHWOeARr9yS86peY/UM6+on0aH605YygUjfJ+5ylzKXvujrovGh+fW8HUblZa3yvn5+UY1 Cg9SHWZ7byaSTEy79T5j0qRtoaEiaV/C7Q8PDyP0Zk4of5+TqoxqrHjoEaa+hjnPzQlxFjeQmsO5 ByeU2V/g7/O6uEmV65I4qrwGrtZi/sgwHA18avZ0afVcZMJIjVEOuchcmpsMZiIzvQqiJImo18KR RTlMKTouhe8mWlfZOf9U92ool99rQ2MHhdVdV0VvdEocMbmwgZQv5YA4b/iPIJVso/KeCatTCHOY HiSxolIpcPMTqnGCPXmUpkBxWTEPCN9HehQnGIn1E56rQ1OGiEogedr01t15zIomGguTGJqA0hTt LpH1mrgAgcrF12uPms2tjjK5LlR47qEgmSGfM6OixJJMiG/uGplvM0Tn/ZYaMV3g4ShurqKpXmMG ZxoBF2Aw7+ZKPBel8DzZqNDh4AiB5LCYvZrXZyfH5y2xENDw2XlIYyq8D9uotFwrp+K6djO/JmPD aIQ8VHP9DY4U6K0yoW221focwgMJVrmKlNJ5CRqbpAANBSSYsCADJ13TLJa5TmUaSCr/uRkcnnVj 58BGhvMzaATt1bupj06ClWsl6w29OKlccOj5+flWcQVzASa4NPzm/AcjaEd8djhqbxNSMj2Q/+1G 0lSW7tEIrvQqaMnvT+SirtzymvA6UsOk97nZDVJfi0dF0GCyAjLN4mmj0vJWcfmmsfPCg0sx8fCn hDcxb8+0SMlre370uHzo6WkZNmB5Jz+nvr9KctlzYSjgqsbAFFXRE3V5dcLeWR1U98fPcx7JUFzi gqLBccSW5ouws53KnpVd9vztzZLw0EbBuYI0fItQEhWz94odC+YmGGHZ6KZ5LoZ/HEmYDDPlHp2/ 4N9u6DSr9Nxr3cyZOuDTTBsjA3OjEgzRMlKu9fSIg0RV1Eal5Z0hMCufUh5lTNwgRq+pFIdf4+mC rnAxxkxlxj4SGqpUZcYy2FSuSYVdXcJz81B83VZGTvbaqFYimh45sXezydpL9pql5DxzUy6rNVnk 3KRMetWGVLi27v9wpZir4KyIDPs4V8fnZqPG0m52ghs6NBW8q/MWi8VGxZhzPGxOdDMvowR38ScI jHlBd8iTAij1rNR3OPLy+qXojX0zLCKh8eJnsqk3VUS616qNSss7JernaCgcYSTacOddrpr/kaAf RzD2aNnN7wQlD1cipjR8xXt2Lih5pPR6CR3Z80yNoSnCMFPxVfX/iYE4DQJzpRMjSSazrxqxzNcn yC0VAyRSQ9+/1ycN4qLSrO9PfUd2PKr/yASlZmhgRSC/x3Q2HlXM39mYGUa1o+Tn4kjMv2NEkkZN e6/P7ZM0WI4G1BGgc4JzkyQb/mp55yjFU+/YuGc4KymJhAOzioaKLiVrE7Tj/gHCVHMJcycyHQXM wRksTzVRYJoXT4NF2IleovtWTJfBqMH9Pkl5JWNgridCH2meehoZQC/ZfUBslLRRS/vBRjfBiE5A J4/efUKMWLhXmBdKFPSsxHMewnvRlVU0jNwnhuucy7ER5pqQdZkjFPx6V0GyNDxF/8wFpS55R+8p orMB6ZLill+UU0ncRYTBquSQm82JR1PRVwSUsGd7oslz93ArFwfw8BsqswJzeW7yml1RNWdMfT9U 2AXP1XsODw8j/Q0VWuHayRv1xEEqT+ZkeN1UgqWEnWuxoq8+lkQ3Y2Xs4V7Op3G+imeyszDAtPlu +nQFk41UUpKuyuKz2dvb28irzZUWu4rQYw5MwWLjsb+/Pw4ODjYcjdrD7Aup603X4CgkEWymyq7E 1sBz6jOdnCifx25+bPnZiXoezOTd1oQ9bjAm+mw4nFBM43vd92BYxfM+rHAc/rP6jLi1CfbSwCIa iERImcj/KiJjk95cwQDpVTw4LEVcZXA88Cqtk4dYefxvGszkKqjiRvPME9LvEE5h4QLXthobnd/h nqJDwTEBLr4whU9i8WWPj/NxzHekhkUXR/gZM79hKNERTX3HarXaiiqcq/PzM61QynX4jDii8YRS Rk4uAiDzM6Fa0yClCL+NSstbxfCClQ2bwtyb4CReSny7RDgNLXIpMg1EKm9NWP4cB1ZSNsbrrTzT jA/esxWJIZs0zZCHnfdLBey+DypzljxTuVjBXlxcxMIFG64yrsk4OWI1M7PzTYZNPAgssRH4elI0 Vx7+XEltUngeW0ClzF4YQogp6rXDkiC0pPhZZs+iDE6ZnKPxcR+W79k5pZRHMozpAWhz92RYNjE8 t1FpuZYkCMszKMyTxHJRKzwrmfKm6AG7Ec2JZic2bWQIb6QRuimMN0mkFZlJAM0gcBVVh6t30oFk 1Y1zKqUk6OU7UjI0SOPEYV+JJ2quz4WQXzIuFS2lmSZeeypjRycmdkzVT2m2TDLkVoTuZZqjf0nG j99hhgLPEkp8ciZgTQUfc1DhHMzla+bvCdOaFcGNiylvx8jL8HBiZJijB2qj0nKtaIWHnYbFsyCo WIpHipASS2ddmZTwaipAswK7/JGMx54dwmv2fA8ahGrG8xRD9qmYdqMSpYl11qNfCwJxz4QpYJIh dcmx56r4eaW5F6lU+fDwcItbzXmVxCZQhs7NfY4arexN5W5WYDZFpnJjJp0d7bpQwA5Pqip0Tqy+ lwbS80SKHp4d+IzmWd7u77ED42R34vKqa6/RBI7guM71c05s9ZydFM0nCNn70fBxqjhro9LyVklU DvSuvemoiAxNmGacjYmpqolQDDe0K7LY7GYY5ipI7yovMvEm0bh6rkyinUmQCHnKUh6Iys0G0TPR 0+yUBEHZszSVzdxoYt5zUj5WUIzaXNzxtgiS+RyPluZartfrraFfqbvd0KELK0xG6QjU+26OBqjW mr8r+virho/xuTha4fXyXKQG3KvK0OnE8Xpr/XzuEkNEmhfD++nmx5afHanUxqsqFSb+nBeg4iM8 UkqwErCeuJjmh3Djpvnyc0l9KuequjEMQ5gnJanTYeW9uqy4fr5erzcqoXiQnex0ZZOVEAkP7V36 fYZDUpObPX7eqyl4TGWTypQT11p51HOly2mcMOG/RL2fqo0MxaQCC/OaEdqlsXO0cZ3z4OmJc/tl jio+jck2EzefPZ9Pmu/iz51rwqQjQ6PGteSasmqPe67hr5afbVCoDA4ODiYajTnCPENm9vKcEEwM taar8GFhvsAeWCqfLNiJMBoPZEpWpsqzFHklChJzN9mrM9GfPWSzxpZCoSJz9OiCACpre5xzCs3M y1fl16ykSinzuabRuI4eqEzdPW9OLVcm2UjUWqUGQ0fJXisWncyV0jpKSHPf7QTNzbpPHF6mlDFk l5p/HY2kyj5G0YbCyORNR8+5JaMNnahv+dnQl5VqKtW0x8mchEkRU+WTla67hlPOhQlIJpYJsxhe Mf09DxWjLXuMZPZNXdNUIhxP7AY7QldplrmVcJp57+Q+cwAJBuF7Kl9xdnY25YvmaNmTE0AlbuiO 0ZRLmZkLqr4QPmeWdqeZJYlCxordhs/Pxdfv2TcubS4DY/jP18095IiCa+HrrkIFjwew8TDsZAOR 8pVp/IAdDDp6LpDgPaRqvrl90Ual5VqRij0xe5n0JmlEksdp2hZ7TGn2hj3jNE3R89tLqk+kDokT /oyw2GfBijLnaebo/cmoTOWVKrZ44D3/g/CUG9uI0xvOSiSP5v3yPVBpWlF5boonAxqKtLKbU8Z2 HFLzo6E19rvwWVRU4vVLHrWNi2HDxJTASGKuKop7gNV2hH+5hqn4gE4XnRhHMynv6Gsy39hVTbIJ sku5Upeed/VXy88SJuMT15CrfUyYaDiGGG1NGnSlVioOMMWFvemUgDXsRuWcehvcje7SXNJmpP6b xPFlb9/KtO7F3qqbTU3emQZtWUkbSrQi5NolCGrOEJj00orer7dBSkbZkWkarWyngVT5VpCXl5fj m2++vvY+v3v33saMoNojbFwl1JoGqrmAI+WSEkzKXI73k/MXXJPE2/b5559d+56fPPl0q0IvQXPO rdDIJaLRd3ZcX/8jQLSW/9/IZ599toXFp6jFI3lT3fxisdjyQp2TIB4/VwHkeSxpjnlirE0YvkkL XYXjUlqXRrOj396i3/M2LzpBNVYuiRgzQTJpXvocVJUIAuuz6eU62koVU84DGOpMUaZLtA3dWMmR XqaMAD36r7768mfv9/v3H2zxcZG12kwSKUHuEuG5mTs2zlcxSnOkAKv+6jq//fabn33PDx8+2hpa V7Coq7zmemTu37/fkUrL9SMVQltzCV9TWxiqKoWRJj+6ic1QAn82V1XjYUzpwDtRm0otPTExkWLy 7znsnDBg4j9zT0GtF7uqDX+l8k1HXOlerdhZGJG65mmcDCmlhkIP5HJObi7RmyhYUrkxoxGuA6HK OWNy//6Dje9MhvTrr7/a+ve9e/e3IoJUzZYaaZPiTfklRpNlGBPHGY07z8Pu7u7GtZc8ePAw8p/R cH355RfT6+vfd+/e24pQCcclKpx/xJCujlTeM3ny5MksueMcAaG940p2mkCR8yE4hS8dRnvkKUKg 9+bXew4FoS6G8S5KoCIiCaBhLTacGfaon5USTdCTPdvUoOYZ48nDn4Ov+DzKMLBx0X0RiTInVZOl qYY0DomR2AlgQ5mE05KxX61WG8o1eelPnnw65bg4FpjK0bT4hssePny0AekyV5bm9jiyTnlBF1O4 7NvvY1RSxRVz93znzt2NZt1CBtjbtVqtNqajfvHF5xuf8fjxky1qoioPT2MUan88ePCgjUrL9eTx 48dbfSL0YOY4gFIpo2ni3YRnssOUY2BncSlszy9PdB/poCe4ilERDZOLDpLRIZyXekYYgXiNfFgT k259fym4Ug6JZcCKi7ND5oaHjfF3GnX3fpgnLfVIuGKJ+8Q5gOTlznnINkir1Wq61j//+U8br7l9 +87kdBACLYNen1EJ9DTLhhHPw4ePNpS+ub9SxOiKKu7rcprYCzM3upfn5+zsbNqDNn63b9/ZYL6+ efPm2NvbmxgtiDYsl8vJsLAS77PPPt2Cw+peyBzgwpgyzL/EqDT89Z4JFT7zDaZ+d/d1okmnx+aK oTQsKE0P5GErr9tJ0qQ4q3Qz9ZqkxkI3zlGZp+swJFKHkBVRvF6Xepo+powmr7d4tthMWvdQCsTl t4ZQkiFPxJ6GKy8uLiZq+Pou0vKXcqrCC/OYMQJLc8+5Zh4N7JLtKgQ5Pj7eUKzr9Xqs129gtdPT 03FwcDBOTk4mOhkawMvLy7FcLsf5+fn46aefpmZVy5dffjEePHg4XRcdCo4e8OTFEjMFc1+4bNww ZyltF8UwMnmj1HfHycnJ+OCDD8bBwcFYLBZbkUZ99vHx8bQP1+v1+OGHH6bSbt7zo0ePIzSaxm// Uvhrt9Xs+5dToSdWHmCF2PS0EnRjTN6GygoucYHVe+q7zdRLj8lwA6/dEQUPcXlv5Q2m0lp6jnUw 64/zAk5k8h4pLiH1fRNLL+VowztXOuoIhti4S1NdWmsYk99VDgCvxR65lWWif3GvEte+9lgqYS+j TOimlPfx8fH44IMPxo0bN8bJyck4ODiYeNt8bYeHh2OxWIwPP/xw3Lp1a1qjO3fujrt3721Bj2U4 S1FT2ZPG3sn8uTxdmoZazg8jY5bns7qrruODDz6Y7uHk5GRrvLJ7WCqiOT4+Hjdu3BhHR0fj0aPH 4+HDR9Nnf/HF55NxX6/Xk0NDg1dFDOY/60il5a2RSnmfVNxmsE1NjWxE4+ZOEwrTYCEn71P0YLJG Jzzr8DmSMIts6jimt0ysn9AY16Q8OCsLcyvZK3V5rZO5ZgwmEaGT36l5MCWQE9WJIcM0ItoRnWeT pMFaLqLwdabKQedmaLx3d3c34Jo//vHjsb9/MH7zm99MUVRFJmbMppEto1h7fG9vb7x48WKaeULP /d69+2N3d3csl8tpbdnv5I54sjibp47PMJ2Jw8PDjai21pPJ9YcPH43d3b1x48aN8atf/Wra4+RN S53+Zl+4devWOD4+Hsvlcvz3f//3uHfv/gSvsRHYvURsEO1IpeWdhIfdA6jKezs/Px9nZ2cb1C2u aiqFUpBBvTcpMBoUQjOGFxKhnb/TfRiJkZhVTOlzeD3OAaTkailZKgX3ljCn4HJm/qlrdOOhD3Mi lDQDAdc55YbckDfnabP8tCBBQ5yp98XNg0kJ19ox7+G1o0G5e/feWCwW4/T0dCwWi3FwcDBd01VQ Lg1r7bPDw8MNss+CvSqJb6NMzz1F+I7wXG49B+3akdnZ2dnI89y7d3+KFCtacCRuMlKfaT7X2vtl kEs+++zTrTyfo9uUT22j0vJWo1L07jQUpVBYGZJyDJ6vUu+r9zrXYAVXsE9tfEIinIRIwrw0Z6PK NgknMdqoQVjwAAAgAElEQVSpA1Mea2pk9Hxxl0ungVoupfX88UTLMccI7BkY7meotXIfR2pkNIUH I7nUKe9kOXtE6B3X30yU+3vShEQWMPDf9dpKLFPu338w9vb2xunp6bh169bW9FAaKibtvQ/rTxkn fk4p8DHelBvTMHAv8rkUVOS18zMvo1kOGZ2cRJkzxhiPHj2ezsPh4eEEwzEv6fyTo7bEWFD5p4OD g/H48ZMNGMzRKad5+tw2/NVyrZyKS1k9nyFxFNETT/AV53EkT9xzyh29mMgwjYP1Zk+lwEzAJjZX 08PYUzOkQCVgGC7BTXWNi8Ui8pwxUnPl0FyzpFkNUhMiE/ee3U7lW99JRcvRBnYEbMxTjoz9JYng 0BQ6fM6sfKoI8/j4eKNcnco7Gcb6f1WRMTqp9X758uV4+fLluLy8HA8fPpqgJz477wkn4ytyp0Gu v8swmPOLTkStL6OUWqfKGdVe8LygFNEzmmHyvl5TVWOGwRihMAqcyxO2UWm5VrTCDeteBpMjEidP HeNzCsf4v2epl6JMdC3u/E1Dh8xmnAgnfQidL3COx4rUtC+JGTfNR6ECMjzi5rs0JpYRiI2wo07n YZIjYZJBF0Ikxmnnwrju7Lfg9dQYhDnG20pcu+flTY5jb2OcAaPAFJXRkCYYq9b84OBgHB4ejvPz 8ylHlmAp72WPoTbjhOFRUwGlfJbv+fz89RSlpBLmFBnPwct2/Ig+8HrX6/WU57FxSs5bG5WWK4Vj WF1RlRoRLy8vtwYUkbk1zcdwg1b9/ujoKM5jYR+KlTMPI70xRz0pQc5S2oQds4x2LkKr72SC9uDg YKNT3kbMisnEfS6TTmvn0m5TsqSBYknJuF+lvPgUlSVIhWXb3EMsoLCyJZ/VXOPnwcHBRuVTRVKL xWLKBdBoMXFNMkrnhLi/uL6LxWLqD0mGjjlGEn2mMluW4ZsbzPODvH+Twub3pxJ5NrUmI87vZ0Rb 61zVciXff//dePTo8bQfWZ7/S6OUzqm8p/CXp+vZi2K5If9PSIH5ECq6wpS94WmUUoLTsI+Tx563 bVpz514qb2TixYKSqlLI+QOX4XoSIPsSPBWTODrHGCcc3jmGUuCV36DhtGLm56cGywRlJB6qdJ80 hmSudcNeynGwcGOuQIH7o+Thw0cbiXWukccbE/d3EUmKAFN+iGtZZcxu1KwSZc/PceWXjVeVBZPR uMp4XUJcRp5NjcznpVHddR81pM4zYhy50tizUMF7KlH4dKTScm2honX3dIKy5qCu8rxoHOowMf/g gUGGn6h469qqgcu06ImuxAOlUjRV8IKhOVaIsZHOlTH1uefn5xtMzKblqLUpJWLjbcjN90WYg5ET FYjXitduReuKpdTzUmvBZLSjqTSrnjCPITxHUmaMpufMkQSmhqlrSPQ3vD5GuxVZVFTCa3/27NkY 4w3tS1Wd1f4k9Yup/g0xOoqhAWbUUAq9jAuLEgjLck/UXnXexrk/86rZiWCTr9fOnH/cWz2jvuWd 8yn0bHg4DOHwQFeHtDmkUk6FSiTNz2DZLxVIoidxwt9UJymxTfigDvt6vd469M4jUDHQYLpb2vNP uAaMlhJhJpPtrOLxWGQneuv6XeVVBs99LlZIKfKhF+s8gRPYzg8Y9rJiTwl/RwSGBOmgnJ2dTVDd XBRrD3tuvk9BQoRX08ROQ1kejc1ohXvFZ8EOwdzkzeTQkfnAVZf8LELBqbfEzoBHGdip4TPoRH3L z0rSJyp5ezDOsySIKLHuekbGGGN8+umTXvz/B+Xzz7/Ycgw8ZyVRnlDBLhaLjSFhc8bHypLEpe7S 5/eSWiWNX0hlwWyqZXEBy+9tkFyZRufFfVN0juig1PRO57DYAMozmmiWuH71/7qnkkrU04jNGajO qbRcKXV4zb/EnAG97NTkZVw6lefy8LRB+X9XHj9+tJXDcVThxlPmprhn0uyVxOA8B4Ma9mN0yJxX ihjKCJBRwEzCVNpMvrOXhxFE5aBSvoKlw4ko05FTiuqdm2E+h2tTsJshR0Yq9T73YnWk0vJWKbzf OG3y4JgoZHVL6mLmYeH8EUIyn3762YYXaTZiKoZET0GM3dVeTGJyIFg12RHyIFljmmBJxlnDU8Ur xsPt3JGTwlSUxURMb/Kqzn6vFz1Kzx8xPm6Pldh/Gl9sQk4aAo8gfv369Xj06OFG3oqwERXwXF5s Dn6yl+396etMM3j4vXNVWd7ntXfNxMy9UIam9pkbEUmkScVt+MuTTZmbcrUiYWrz381FSYxwEgw5 R/MyFyG2UWmZD001OKs2Nz0sVwwZO+YfsuymgVb2SD0gKnVj19/VS+HvLw+wlEaVQzIvVAqX88TL QJHPywfOHe3pnsk47CmJdZ/lHRLvT/knl6bW57LXgj+r6qrEobZcLrfw91KOzIel3hfDmCzVrrWt tXCj3dHR0WwBQD1nOgRVzGHlX1VSNhTM+ZkvzcaQypTRTcFahnv5es+lsRHzCIXqtufzoCGbc0z4 /UVfT8NsGn3De855XQUV0hjxnlMp/T+qAqzhr/dMyC3kcNgQQ+q09TyHOkgFA/DzzCSbqFeuKm20 oWEC1FQqdYDW6/UGQ3Gi8XfJa0EcPGhMxiaW2nqPS4nNPUaW2zRL3oYhEUfyXksBeeSuvVQqH3r+ HiOb+MZcCMDvMceblbrLXlmS7Ojy73mZzzbuv6AcMginaIPKmiXNnLVCpmTCXyztJc2QefDIk+e5 MuxG9z5PJKeUb7/9ZqMHqmiTOB/G8LSNNR0ARuS+ljLCnCrp+/lHlhS3UXnPZL1eb5RQeuIjq8LY a5G8+VLwxHB5yMwjZI+IeK4b0EjPTS4lKv5k/DhrpO7V/SMsQkgVUez4pmef4AwOXXKvD2nGk0JI NPD1Hhp8er1lOOs17lnh2icFzuutz7EDUIqcPSel9NyU6PyD+3z473pNfRf7Ji4vL8erV6/Gq1ev tvpg+LzK4HC/srenDAtzDGOMjQmJvPZHjx5v5G84GZEOmCMNN+2yI57rzDW5uLiYxiHbMLx48WK6 91QJ6LPKPp7UM3Z+fj6eP38+fvrppy2etc8//2Kj4GCO4LXhr5ZriUt8Tcfiee1VzuqegdRMl3iU qBzTtEGG6Fa0iT3VODAx8MQYTD6sRD9jSCF5hOyRoKfsahxGHmW86O2T9p0RkJkKWM5qRcXIg94w /18d1ImrzJ51PWfPAXH5cpqjkqAcFnuweoq9SnMsvnQmDg8PNyLbKgv2sC9XO7mLnY2phMWc20iw nWFBl6Hz3ufoUwgBV7+Iz2I5e0Ulw54kRxxmXOCz4B6tUcNVik6pSjA3jhq96Eil5dqJesMhhAa8 iYkx1//ZdEXPOfEIsaGMoX4d8vK4r0q62/Omhz0HVVQ3NCvdEmOwGw3dl2C4gLmeUlar1WpK8JNx toZGLRaLjf4Ld5vXdbB6p9aw1pWFEGmAFCk53Elu+pSdnZ2xWCzG8fHxxvd5hAAp/k1w6HwBDXTt CUaIZNitdWG+7csvv5gcmKdPn44XL15s5OoY2aZhVYYmef0//vjjeP78+WTYSejI7vSrkvocqMb9 zx4hQ3zOhbAseIw3Y46ZC3z+/Pn48ccfx3K5nCJdV7k5H2bIrdb+xYsX4+nTpzFKJkTmYV1p7HMb lZa3GhVi3uVVcka8vSJS1bsD3hVC7CPwBDmWLpq4MMEFrELi9Ra04fuy4kzRFBsQ+SdNpizFTpjB TY2sGmL5qLFtwhVU/uxjSPQuhj0cFc4ZqLnBaPa4U+UVjSshIMJN9qINTbGz3dEjnw0hsFqjgsES hTxhV77H+YEyUK9evRqr1Srm+B4/frKh1FMOzxCoiyBSfooG2Mbm4uJi4t0qY8prqJxgOU3cn2ai MP3/zs7OWK1W49WrV+Ply5cbkTNzSHN5vrmKzjYqLdeCv1L0Qvgr8TalRKST5/T20sAtl4QSonBF S5owmKhM6KXaK3Nxged8UEm7j8Fz3500T+OOk4JPr6PxIgliKpAg9Jg6r12ym4Y40QEwbMQ1TtMl /VmGNa2QqexS9JMmJ5aCrc+q6I9rmtirec8sCjg/Px/L5XK8ePFigx6FA8HSTCBDnJ62mCqxCNsS AqxomVFm/XnyZPM6CF1VfmUuF+UzSYfm7OxsMsqpNPvRo8cbPTaJmeKXjhNuo/IeimEjHhzDFJxr UXAPJ/gl0sRULVOKxUqC5IE2TEziJ4p3f34py/L0CJHxfuseEpxXf1ar1UalFZPj7J9htQ4POsfa kp2W0A3hJUMv9Z2s7GEXdjHvcrSy6fW53uYEK4VHWOfw8HAcHR1Nz4qd6C6McDK3+ndYIEEvmhVd NvR37tzdgITqs3766afx/PnzsV6vt3o1HEHwGb18+XL87W9/G3/961/H06dPt3IjY7zh3lqtVluK m3vCSXCek4L3UvSQuN6YI7Oir+q3+tlyuRxPnz4dP/3005S8d3VX3fNqtRovX74cP/zww/jLX/4y /vM//3M8f/58I/Jm1Zf3mHnh/hHNj21U3jOhJ50OGzcelTuVgBlSC5utjW8aCXpzjJYIbdBTsgfr 33l+O1/Pa6XnmRSrvXI3hzFqcwRDWJAK2o2TNKKl5A0RlvGudWVeJK0B8ypuRk1zbzwLJeH9Zkzg dSR+MF4by3jnhrg5cqPDMMYYn3xye/q8b7/9ZjLsz58/n3IDLolmJVrtv+VyOZ49ezaePXs2VqvV BuzEXEpFDoYrDQk6Qpwrbbbjkhot3eV/9+69rfwKDdN6vR7Pnz8fL168mAxmGbOCuF68eDGePXs2 nj9/Pl6+fLnFiM17Lqgx0fSnas2fK1399Z4JPSbDH4YUzGJcc0TmPBp3UqcEYXnJxqvZiW/6b+Zy qPBZ0VXvYckwG99c7UKFnEb5JgVp4+O5IU4oG4KrtbECp4fsZ2CvnEqQuQR3UlNp8hmy9Nad5GSG Np1+msZJw1mRDqM0Km3vKSbAi/uL8qc/fT/u338wLi4uxsuXL6cqpvoOzlxhD497hZyYH6Oo9jeT 7uyETzk6Ox1cW++vWjc7Jo7MTQD61Vdfjjt37m7s2zHGBGUZkrwKZt7d3Z3gxIK9eM+EJZ0X9HW1 UWm5Ukwsl8omXcvPQU/EcNlZTcp7HpjktbtDvT7PMINpLIzr1+FgR7KVIYkBHS3RQ3ODWR02Urok CnQnwdPUxkQpnpoRGaGYZsVDsHjtLuH1+2h8WS6evPGkPKlcE+xog2CIJ3Wc+/VjjMlz//bbb8YY Y4JtanZ9KdjqaUkTSd07VfNSNr31nRh1eqAbjbcdD5aF8x7muuZT9LO7uzuePPl07OzsTPx43333 7XSdfL5Ootf/yxCSOcJG9MGDh+P1650to1NTOnlmmqW45Wcl6subd8RiGgpDZqxUqs9hjsBUJuwr oHKpJjSXprJGvz6HY0+twIuWhF4jm9AuLy/HcrmM3jwNUM1H4WvYKOdOaw8DI0X+HJ+YCxNcTOCE KXmzXBDB9afSS1xgVcJqGvdaV8+NKTjSkaH3hZszU+9MSuSz3NyR22KxGK9fv96YIV/GhU2K7KNJ c+V3dnY23l8G6813HE170wPOPEXRzYZ0VtjkSuXOa6i1d3GHG3+rEZTGoP7N6jg3XNrZsjG5e/fe /97j3lZ5eeWMWCDgYpg2Ki3XS6KJHmUO2kjDp8yFReWQ8ib2ejkbnVi9p0O6odG4vqGAq4jzWOnF 6qA5+Iu9NimqMu2/GQJIrGiFauVro+ocVhkK55N4neyI9gwarrfhPBN2ug+i1objh71/uN40tnz9 VTky87qxAvD+/Qfj9evX45tvvh5jjK2Ig1CWDYjl/v0HY3d3f2u/mJjUzbguh3YhiZ0eGmBT7rvC yvk8Mgwk4+LIY249nDOqPcIzwog8DWNro9LyTmJcloebXrVhCvd9cAN6dLAZhbnJDZfU4aTydOd9 mqVOL9cKiVVHhJYcjZiV1QZjLqqgh5ka0aioKhmfCgpMo56mTjpSmctV8XM8Tpd5JBrWxEJQhQcp eW2Fy+fKKM3VdHPODa+Jo4jLEK5Wq3H37r0JDktylUGpfpCDg6PIBJ0iZfdb8efc/yxiMOVPrT/H atugGMI9OjqaDPNnn32+NXrYuZer7vnv13kQK/eMQBhWa6PS8k5iShTjyvRk6ncuHU7jY+eGfdGA lMeU4BBDXDyI9uCpEEmtwvxMfY5Zkt3bYOPGNTJcYLiEEY0NiteDa5xmidNwMFJwc1vBcnx27rxO RRiec5K6xhOhIBWl+0W4p4pRYG7IFo1/Sjgz71TfVY5AKUq+f39/f0PpPn78ZMPrTxNHCZlZEmUR RxLP0fnMVU/OFUowYnd0X2ehKGqePPl0KzfF8uCCBHlfe3uLLWfMkayfv53INiot7xyppAQ9R69S qdM7pwFIPSU8wMwtJM/IFU02coaUyEWWqo9SkjyV1xqacuTkqYGJdNL5DlZWUeGka0uNlfT467PN 62U4jVV8jioJaXr2uEu8mZwu+NFGkcqQxsXrz/xConJh3oF5Nc8hqdeXE8KqtYr6Li4uxsOHj7B+ OxtVguahM7RbuTI+EzpLdCZcOZicprmu/Lm8WYrEfR7I6FCOxuPHTxBFbs4GStMhGWnNOQ1zpeBt VFqu98Bx4F3tYiikNn4dbs5godEhZONyWCqfamJLY2ZNZmiF5QotQz5MfFaDo4dk8fWcveKIisnk NMDKUIE9U0ZFiZAwRQv0VmkEyIvmOelVYGDjlCDMdB8V0fH7qWj5TN3/4LyVq6PKENjxYAGBRxM4 WqVCd76GjgaviVWEdn4csbr4w5GVixTsbLGU3TPrbVjoACQm4DS4rQyEx3TXM07J9dr3/NlisYiE qHRYavAco802Ki3XkpR4TN4L54lQSRECoVfrihr2izjMT7kSv9fjaE3eZ2+MI1fnWHB52K+Cqfgz j122l0reJs9LT2yy6/V6a2BWgt0MDSYW6Bo2RiOeYJr0DDhCoO6lchr20pMC9PfMlSR7z3mwmgew cR48iUzZl+MIIfFxmdg0NSISkjRlvRs3nU80QSj3f+LUcnGL90iKGDwUjYaLEYkZvu1AJWfIZ5Fn p41Ky8+Cv1wlROVOZUL814nl1MXN0kuH2zyAaeiRPV02YzGZz8obRwZsmPTB9pjXxWIx/Z/eHQn8 nJjla5hzIvzFBKyNJw0or5sHm+XBjKjo4ZJRthoDy/vnWjJPw+uqqi427jlXlYoWDAEyR1BKlqSS VMb8DubOzMJAaI7FDnxWXCM6R84x2PkwtX2aV2+iT0Y1rnJLHGmOorx26bt8H6T/8YhjjwCmAa5e MhdwuEcssSw4am6j0vJOkYq9czLwUjm7hJVVS85L0ONj0xwPGxVYgorYbZ+8dd4D+zLSjPcEX1mh zOV06LXxtYRMEoW+K9ccNVlxpPkypiFJzMn2MpkPcZI/0fk7Z0NjSr41zmNPFXiEgVwJ5+IBrheN hhtm7TG7mMAEn1acNDzMXaWIJa0JIyDngmp/euCc6fhTot77xGvkIpaUB7KDYkNqiCwl5VnwQafF r2uj0nItSQOKUp6EuHR5QvXvOlhMTFPRumejpJrbaAxcPWZo6ao5GgkbJ3RjqhBOdmTnPhPvhExo mBLVO5PlhCSsBBMsYc937lqtZObyZPybkVaKjAjZJVoYE4zOzZixZ27D4T3Ga7QhZTRYz6MisMRH VU2ybt5zP5UNCWEjzsDxPHfnK+jI1M/Zh+Iofi5Bz6iDz9Z72Y25ycnwM7bTxCZZd+a7fJ3PsWla Wt5JXKXFDeWqHCtXshVbITj/wvLflKz0qGIqNHOI8QAQjqBxc0c3YaRSolYsKQdRa1JGtHIN9GAJ fVEBpM55T3tkBEdmA08s5Bq4g5/KyFV8LsVOOSzCTq5gc0EEnxH7Vgo+owNCo+gGOxtKKzV7/SmP w59Robs51V37idhytVptVbgVfDiX8+Dz9OwaRjMeDZE61l3ay/WikefeTqwEPjOEZB3JcA2dr7Kz 2Ual5Z0iFfMGEZtNjXasNKHXXBuTMBEnynnmSHmeTjYaikozSEjPzWZCzgehYl6tVlvK0cqYhIr0 Pj2vw/M/0swR93AQijImzkiHSsZNqB4gxWojR3o0AHyWHiZmQ7NcLreq1jxvhp9TmD37LJbL5Rhj jKOjo43Et2l1/L5UhWQD63xbKmVmlJIYDrz/XTrvtTJFTertYuGFKY7qetm4yv1hZglX6XmInYe+ sVHYpcymJDLUzHxpag1wlVkblZa3P3BsQmLOjlpobMw6nMowK/qgYrDH6QY5z2B3tOED5T4CK+05 Cn8rJOPpruqhZ5ko4q3U656onNNEvVoDQykk9TO8kebUm66eHnHKm3lMrDu/r+qrcU4oTQxMTaJO 7tsgz+X5bGBTNGJHwcaGfSeuyHKRwVWVWow43P/i0vQ0cdNl6szHMHp1ftPXW9+TSFXN0+bPSMzZ qe/JJc9tVFreKVIhzbw3Z5o1YmoWlqPawzSkwA1ajVrpcLjckUnOdMhdWeQEeKpisfI0hORJkDSM SWkkbNuQVc1aqdkxSVHPNcQlg2gop4gB54weYa4Er/C51usILaV1MGyYmucSVc9VTX5prntyBPha 50II1SVDw7wO83rOJSbFTPjP52POIDuaMlN0Km3n3mPei82gzDem5LoLEcgPx/tKub9/iOPaavb9 E3rLpQQJKfEwWJmxqdAVXMlrtvJxwpIlsoQbzs7ONhLnhsFSs51hIOcKfMCZX3IFTikazu0wvu8K OSqcuf4RKq3KX1FJpOa0VBBBBVtQnxVhGkucSnJpUJg3KAWcKtKssGudmDznc/DzSh3lji7molnn KuyRE96xcjYcyXWvdU7D4Jz7crTLqMkz7QtqI2zlKDdBmf48jp7wPCHvf/ZyGRr0NEoW4iQuuzYq LW+NVFK5KQ9wqkyZ85ZpTJy4dALQxoOvS6WzqbzRWDsxb5d2EjO3N23PPQ2UshGxZ180/pY0WyMp U3Z9e/1TpEc4ks2KXL9UfHFV5OnxwymiM1ToZC4r6eboY+amjHpf+vvteSfj6uoqPz9DbKlHKK2N r8PVUnyPqe99VhKsWBVsjqQ4sto5J0f3qSS6+npcOGI2B19X0gltVFreKubQSnmEuUQpu6HnPFdX blGM/xp6uIou3d5Ygg6YVE9lxmmuCns0UtWbGy8JzVUk4yKA+ndFdWk+vQdDJWVV18xqHxNZusIs 8YWxOo8eqXMqHIfrZzAXfbrgw9GgcwwJ/6/rr056K2gatvLCSyEnI+qIINHjeKhbuk/PlGfDrbvu 3Q/EsQRzXe3Oa9bvmGMzwpCMYJrSyu+38eZzcGT4S5P0bVTeUyGfUjqUhrI4W4OVLK6KKqU+Rxtf m7y8e86dMA1Hom13/wG7wRMBpQ0mvTPP1vDYYTPeUvk7EnFpp3sBDCva67ciSx5lVRlRUaW+BVbH Gf83yWdiRCinY65hMOHu9XobTa5L4nazUzDH0ZWoX1IEYwqiOdaHlPTn2Ujcc44G5mbYpLNAAzA3 YZVOWxk8R93JQNshYdWgozbPCkrVd21UWt79gauKJI2/TWzC7FFgB76jHlfTGAIiRMUQv7xUTy80 fMLOYedLnGSngiWk4AQoS5Xdy5E4rZxITzPtzStlfqbk+SfIqz6XTXDuy/DI4vq356iXcZp7LnUf x8fH0+8q70NF50S979nzYJg7q0goJcSvGmTlAoXkvKTILhkg7pODg4Ot6PqqCjzn6xJMZqNYn2sS U8O8zmckvjKXv7Ovh3uKlP2E6Ox8udx+uVw2/NXybmLmWXu7VN70zkwTwUZCbszUm0DlRcVtiMZJ fdf2J1zYHnWq4prD6dOUSnuQV3nKjPjKKPn+E0xIQknCOjQs9qLTJEpCW1ayru6zUfNQtPqc8/Pz cXx8vNXsR66wGvvstUwNnvbMWcHk6jBXu9GQcV3NdJAiKhsQ06+wtyh56ak0OI0rsMPhyYmuCrSz lQxSysWZRscTWc3XdxXfGK9zbtRCG5WWdzIqyVv2oUn5koJgEgNs8rCc72C3PqOUVEHmZGkaJeyE o8kLDRH5Gg07Jc6l+nd5fr6vuTHGnmXhqCD93xTr9azMopsSxeaISlVBvOY0N4aNq6lTnco3MU4z GjQENTfBkhAn+cbKAKQek0Q579d7T5i7jddj58n09CapTPCeHQAiAynKcZUhr9mRtBV+GndMAswU LdX5navqc0TYRqXlneAve2WGnczKa04rb2zjyFdBEKZU8bQ9Mg9XDsdjew3FebpfStKm8b0mrtzd 3Z3Kc0mqyGsxds9/E24qb938X567YQPoSCdR1TvysKdsY2zFyeth/sRjgOdo0K8azZucARt4G+3E TOxii0TLkgybq60cKZkyZq4SznmHNEPHTNTe49yPLomu3iKW6ieGBhp7F0TUmeBeY7EKjb9HdqdR Cf8Ig9JG5T0VRxs8RKzsMseVNx6HCNlDdyRRCo89EO6a98hXV6Bx85uDKSk8l0an7mnPCmfFjOEY l44mfjQbU3vbnG1v7z3BVO4doWfPwgW/h9dFh8E8ZS5dpXLn+vq58Hn43mnoOYog5YQMMyValVQg 4AjKkZobPm10E0eaocar+MecW0qNq/7cxOCQmjp9llywYEfIhtWog3NTqWHTxq+NSss7SW1Sl46S gTglLE3pTVy2oDEm8NMmTZ+ZyPvKc6M3yCjIEZWTnfaKCXukPIsLDniw02wUHspEJpgmHjJx7egp fT7hHQ5qMrdUyj+52MJVde6v4dAvc3/ZsUhVg8kYeNKj2RfcVOgeIT5n98UwUnTug+XG/r5qqk3V YEUoyXtydGsjlVgZDBGSvojQJs+QFbvzi6Zb8UjrNFLAkVoq905FK21UWt7ZoDgKSXxIpkMxdkwI LHUhp9nqCUJz1VQ6WCZrNPadKNdTWTOLCZzo9gAtUvCzYs0z3lPeZO4w27O/ipcscVmlue91X3PU H/4D/JoAACAASURBVKbBL6jEzaVUcFWJZ298rlQ8cUulNZgrjTWUOudVpyIFXk8ZDBYNmIuO68Xv SQPe0jA6U9Mzn1TvS3AsJ1py/xGSSgSjcxGso5C6fg6eS8n3NB/I+bomlGz5WfAX8VkqcfeQsNGM cJfnnzjpZ4+d30svzbABPSjDMUWXn3I19HxdZptKgVNEw8/2bBOTF9KwzZUo132QFme5XG40UZLG I5UUG/pwjsBKNnXoM5pibsYzN+qzSGvvXqSKIFn95TxOclRqBrrvI+XfEs383AREvjfNCmFllCvj qIx5/XPjGopnzQY1jQGmcai9lJwWO2leQ5fn0xiYpt+zc0i95LJ0fo9hQjJJt1FpuZa4qZDJvsPD w8jEOwdhpSQrD2nqrE8VS+b08nREHoDytM0Qmzz4q757DtKgN5uKFFIRghUlPcMqo01G0ErUWLsT 2vaW56Ige6UJsjIsZ7JCD/Sam0FfytCK37kSN676GbDM/SpIh++lsfekRX6vcxQuPzfLcoqqU1Wh o1Yam3SP6Z5SP4qdC/N1sRQ4sVI7l2jOPUfA/wjOrzYq76lU2eccHbnLSO15m2jS2HKirS8pL5nQ Wvosfh7J8cxGvFqtYvTkHpsEzfD3hLbcb8OBYPV/ViLxuknfwsNqPJwEhsT/CWOluSCJ/4nPJtGn m1DQDAKJINFeLw0pu/UdTdV3e0AUIzOuue8rlYlTESbHwbkRrju5texAzOVy/KxSstyVWVUMkXqL 5pweF0Hw+j1vp76ncl42+iyAMf3O5eXl1PBKrjifB8KGbVRafpZhKQVhOCcZk5RcdwLbXenJw7Rx cqd5IlP0CGGX5CYFn5LCqSHQ+RtHQiy1phJJ9PvmGqu1KiNOo2uPnopmLgJJHqmrf2i8TTXDai9+ Xkq4Vz8DK84Ir9lwu1fCUE5iYU5DpLg3PNrZieRE4U8DXnvDFWeuwCqFS2NWzk9127tJ1fNjeD1W 2HwNI0wauNojdrao4JkH4kjjcrpYPGOHqH5X68EZSWZN9plto9JyLeiLjXzcfGnGiLuX6/32eEya SOw+QS6JDJKvY67GsAArbBKtSZryaGqMqgQyxJR4oaxM3XxHBTgXBbqbmp4kq7nmZquYjXmMMUGV VDz0yhO1v6vsrsq7JWfDkQL/PdeT4cRzQZeJEJMGtvI33hf+fufyWFxC5ymxNjvfwQmZ7mxP+9nl yp6QSljQa+s94kILRs82vp7iWWuVIhVHYSmqn+tJaqPSci3hGGAnfRMNhTd/bWgmcQ0l1MZNU/aS 92roJs2pcMUSy2yTZ8i8S4IXDAeQBdeRVkpslufHogQaKr6PCspd5SlqcPLYid+U//E0QpebMjoj 3k/DxoSuk7aOYlPhB41f6v7mGlux0eEox8WRhqMiMyynPcwhZi71ZkFG7ReTraZ8mHMqqfvfw9vs TLnwoH5X0RO/385GQac8g47YvE/4/loTJ+VTf04blZa3Ql+uiuIBcv4ilXte5eFaGSb6lqrsMn3G HH6dqst8UKyc2QHvaYFOhKdDnxon56IyRgJUdI4GPX/cHjernZyMp4GbG05mXjT3G3mkcK1dmkGT ut95r1Y8HAqVmvCofMd4QxlSZbgpauXcGBu4169fj++++3bj++/cubuxtuWxlxfvAoAaBEfF65yh mZs9aMyD1Go9CU+l/cX1Z2XgnEKv7/zqqy83fn7//oOtaNz5Jub5uM6uWiPpag/panknOTo62vAC 7aGYKLK8GhoFe440AiQTZHI2JSidaKZnmbBjJxXrcNBLrEihehY4GZE/L4/cCWfCd8a/bYhZkeMy 1VQh5U5tGzpGgJ4qae4qQ1suEqjP4XXwnhL2TqXHSMYkhknpmejRDgJJND0ojt/JCYx2Rr799pvZ fW0jc+/e/a1xASkqtAFMI5DZsJp42yqn4SmeZgVOuT3es52Gvb298dlnn87e89dff7V1z1yzKmcv mJQRG6NFjydo+KvlnSQpoJS09vS+1ASW6C+qCsbsxQn+cpLX43+dW3EEYAVob96JVSbP03Q/49uM HlLnu9eFSsdUM+awShVZZjhI9BpeP0cdzj2xx4cQn/MejPpcvpsaVl2A4YY+K0+vacq7kK6n5Jtv vp7dy3fv3otRC9/34MHDjT1YitWNsy4EmXMomK+o+6Rx515246LhW5dX1/u/+OLz2Xv+9NPPxsXF RXxN3fPdu/c2nBvOu0kRjZ9BJ+pb3hn+steVOrznKoOMI9NbYyUMR5lS7K1RgaYKswQlJQbkBOkk LJlG09P/mOB18r7KUxOrb5qfzuS756WzGosHmSWwTgrTa2ZJMp0EVw3RyNRrSMUyl7chnf7BwcFU Ts1+pjQYytBoPQfmvvhdTEKzo73uw3APIZ83a/pmH9y+fWcjeqQhqs8oRbter6cmRlP2kKIoMSrb qWCEmkYJJHZtl4WbSsbRR117vf/s7M3fDx483LhOvq8iuvv3H2zkmg4PD6cz6+ZeF4S0UWm5trAa xTX8HJ/L0uCCI5ycpGdNQkZ6m9ygpFR3Up0RCiOfRJpY8Ngcxp+S+cae7T2n9xrGsmJhdGb6FudY uC6EN5iLMA18Yt01NFPf7ySue0Pqswhrepolja3Lfl3kMDekK+WKElyaGALqj43J3bv3ZkuJE9Pz /fsPxu7u7vjyyy82FO2dO3e3Gnv5nNz86TNhSJERISFZR5cpcqHhThHZvXv3p311djY2Zs8ncs2H Dx9tGZevv/5qgsQMUxsBcJTdRqXl2kKFSW/56OgoTiosyMD0+Ilx1krQbLZWMO7fMBywv7+/AdVd RQNPBZ6GeRlicOTlfhNeixsJ3WPDpj531bNnxNBC4tcyZMJIwJ61I8eKQkmxY/p9Uq47D+J8A/F2 swikAoNaC0NkTnoTIqMRS7mR3//+D2O5fEN0enh4OG7cuLERaXC/vXr1aqzX67Farcb5+fn4+ONP xs7OzvjTn76fPruUbK0Vxysk3jhT53A/zuWP0gA8G1zuC0cnn3xye6zXbz7j6Oho/PrXv56Mlvun aj3r3h89ejx2dnbG559/Nhmrx4+fxMpMQ191JknB87Mc11az719OhVCGpySWd2Rvlkq7PCbDXa7W SZQeZvxl6eNczXyKHhjhlPFhvscsvUxMs3vYEQ7hCM5V8f3W51cV0Xq93ooynMinMajPsQImRX6t S5oE6GsvhUfMP+XByjtmMYCNsufI20u3o1DrU+9jdJQg0AR5ukrq7t174/e//8N0X6enp+PGjRvj 5s2b4+TkZLrXo6Oj6c+HH344fv3rX4+bN2+Oo6OjycDeuXN3I+9Q8KPHYx8cHGxUgxnmM0tEGrng MmHPRuFamoj0k09uj08+uT2Nn7hx48b48MMPx/Hx8VgsFuPo6GiCI+v/BWmdnJxMBvfy8nKCx8YY 4/PPP5udkJqIT39p9VcblfcQ/koUF+kQORFbm5mKsg6iO62t1FIimRGTvS8qR9fyM4/hyhVDTIR0 5rjAqi8i4fuJf4nGtfIgLtf1gCTDdoyqPAKgIBfnpajUE9uBE81pdrlLWWv9zs/PtyjamRsq79+D yuyscL+cnZ1tMBI4f+DPIOxV71ssFuPmzZuTMan95qi0nkW9/vT0dCPSqrzLGGN8//130/3WvvC0 Sxs+V8ol7jrmKrk/ax1qr1cfyu7u7sY9sw+pjMTx8fFkQOl88H4PDw/H8fHxOD4+HqenpxNTMQ3L Z599uhHpuOeKcPUvJZRso/Iewl9UmmYAdvKxDkRxDy2Xyy3F7yR3bc6zs7OJnTbBJKxGYQNjHfb1 ej39STPY3bhHhVb3yHxQfVf9rCCV8nRLYRW0Uondej2p0esw80+atsj31Tq6WdAlwnw/jTST/FRs pZDq86kwyUvGPBXvsRwG4/VuVExMvGO8YSBerVZjuVxOCtOjqakUS9Eul8uxWq3G3t7ehnK9e/fe 2N/fH//6r/86/uVf/mX8+te/Hqenp+P4+HirsZVNm6Ukj46Oxq1bt8ZvfvOb8cEHH8Teiz//+U8b hs9Nm/baHdEwSuUzYb6yoopaWzo35+fnG/f88cefTOv8u9/9bvzud78bR0dHGwbUdPaJYujDDz8c H3300fjoo4/G7u7uVKBQhqUoeOhEFMRN5KJzKi3vHKmYNjwlL6nUTPpIr/6qHIsJJedmedAzpoJl Ejw1MJr+gtVL9tRd/szqN94HezTKA015ExYveDJkitQcYSWDXO+hZ8tnxPyKad+dsC7FwajGHq9Z DfwsCR+meffcE2ZITteWqF4K/y8IaIy9KSqmsSY85yjVcE69b29vbyyXy/H69evx8OGjMcaYEvhu emQ1I6HaxOvmvKBzaS5Pd2Ms8yh3794bl5dvXlsRB5P/da+GFVM+kczaZfweP36yscbVq0Xjn0aD d6TSci3hBMTU21EGg1EEK4k81pdRS8plGBYpuIiwC41XKYnyCKlI6vvtSVJR0dsigZ5zEcwv0GNz 9zFLT8/Ozqb8CaMpRh9pRswcQy0jwboGUpSw4oeJ2rq+1Wq1dU2kBeF7PQFxtVptRGGXl5cbnvXh 4eEGvHfV0DE+axNi/r0U9u95Jzd30lsfY0y5BD5/0+HUvSWjXetaivXmzZsb0CPhNvYh8boYbTPa dEKfTgerAeu99X6/tuThw0fTOt+6dWt88MEH0143+4LXOjEl1NosFovxwQcfjJOTkw3SzK+//mpj LQjZ8Ty0UWm5tvBQEBKi8knT8Kh8eYBMwFhwgPmd6KU712AeMkdPaaY3cx6EIRhJJP4l3r/hDit/ 4s2OwjgZklGFpzCyDDTRsFREQaPgtS8D4YQ4ow73f9AQUzmn8utUiZfyH2kaJSMG93U42e/y5tQl X3k6szgwN0YDTJjR7NmMJgizMtfA6/bneeCcKYXsYDna5d4gdPXpp082ckdFF1ORmbvt6ZSR5p5O nKdBlgO3WCzG3t7euH//wRZikQom5pivG/5quRL+KoVIFlgfSMMZlTym55VKKyuRT8XonEqin6+o gN3lacQsD7kT1jQcZlTmNVDpupvb3c+pr4U5BhJWek68r6XWx0PEPLHP3qh5mhLOn4yAGW+d5E/8 biyc4LNlvsUEmTRWfL+50RLbM2Gv16/HZARdsefoj5Mk53pXSrHeuHFj7O/vj6dPn46nT59uXTuf n+e2uGKr1pq9QIbBCKPRUDNiGGOM27fvjIuLN59/cnIy5YzIRsEy/+VyGWfQExrj8y4DVaOMaUg9 4I77tXMqLe8k9voNJ3Gj2RujckgwBw+nRxYXNMXPYWKeCthK+m20ILw+dnDTOLjRrbxEltCS0sLz N6h406FPHen0RrlGNmg2Mlx/d3jb4KSyVkNFXgdHHDaEicPL+SB+RhkPRyJeDxqjy8vLjSilPqMK JuypMyKrQgPn+hh1eFjW/v7+ODo62igcSXuHM4Hc3Jtm15sh2jkZdqinUdEeK8zXmF3ZA/KYH7QD lFgiSr755uupS5+Rj1/X8FfLtcTkj/UzVnk5ueqRwaRm8bwGQ0+mc0+Dh9yNPtesSE+KlUw+0FbI NByeiW6MvH7OUunEoOwuacITNFJpGFeCF2l4XDU1xtiogivIhFGmDbG9z4owWfjAHEI9e0OCCVpL TLoJ/nKETHiUcv/+g8lDr1zOHMRjuMtEm4QHnftIOZgvvvh8q5zbkGmKDFK/Ea+Ja8n1YIKe5ejc I6mPJrERuK/MvUd1P4vFYhwcHGxBYOVE1d6ovNovbX7sSOU9Eybo6bmWd5hoJayIkxdGmvk55eOp eMfHxxtQAnM6bg6rihUPQPK0QTLxJpiGJc01N4QKg3kOXrNzLJ7lkT6HRpI/t9JyQ5pzSx7oxUQ9 lVPCyOs7S3nweswg4PyXS4BteG0wElTn2TWp6a+kCgS4Fx2leeYN9ylHMxu+rT18eHg4zs7OxoMH D6eS3tSL4mZVcr25GZVMBR5ZkBofy5DWNZNXznun1t4l/B7p4OFxHsTl58tn5nHWTdPS8k7CqY+M PFiC65Cb+DGxe3p+qRs9VWZ5Q/uwlZdZCtM0EnMwTP2+Gr9My+8IKsEL9f2E5JyvYBTEqrI0k6M8 88QybIVFKJBRTqKKZzSVFL0JQus1XH8aCQ9UmxvMNjfPZr1eR54wUvnT4BrCoQFLuRr3ZfCeXWDA Z0lIsxLhLj1O8CT34tyeNrTLPBuZpxm5EHrzYLDKRdLxo/FgfsoOCGl0jAiUIa1KQX9/3WPtezYy t1FpeSeZI2JkzwY3piEvv5cVNzwUngHOMb5MWrMxbI5KnlGW8XYqkTnF4NwAe0DoCVbepA6n4Qf2 kiQFnJK05GxylVl9t6cspjxY4qcinEKDWE5EGVuuLQ2S14EG00Y7QZamvC8lx3LxKsKoEm3ui1KI q9VqUrCp94T7i3k4T8Gs62eRBGFM5+jIKJ2IVj24jueHuZ261rq3gvLq+o+Ojja+k3uOa+X96GiW 76nnUN/pninv2VS444qvNDOnjUrLW/MqKWrxMChuMpe3poFQpABJXcxVicXGxtrQVGyEudyl7yjE 0ZMpSnydPIguweTapMosGzTi+4xaDL8xWqCRSiXWVGaJQZjRSxp25ZJsKuHUL0Nl7bkgrBCkwU05 E8KD7NdgUQQjIe8NfnZBne5L4XVTudfnks49MRBX6XaKtvw5joTTfnb3vQsFyEBNJ4bvJUmpI3mz MhjC8pn0qOcy8pXHcs8Yzz0j5C4pbnlng2Iv0El5KmU3NfJwO7lIxZe4s+q9pLlIn8UEero+j9dl A1+a60HCyYpAUhUOFVyqsKmf8fBTGThvY8jOnfBmZTafWXm7hFdM5e/GPQ8NKziRysuMy5wrYwPr woG5MdF0EOreEiMyHQBDMbUv0vvpANVzrH6pVAHFmTOVxyGNDJ8Zn2dBuqT/T1Cin4vJOdnXlfqD bAB47myc65rpbBExKAiNHGa87mrCdC6IBo+l1L+0+bGNynsonlyXGGOtEJ1Ip6KcG81aG53KeY5X ydfG6Cc14bl4gIezeMqoyMyRZAze38EqszR/3vkgGlXeh6uKbPTmSCiNk9MzdRK5DKV7NeqaPESr 8jGJ6t+VTM6zFZzoa7PHTCWYDK2hPnr2hGTYc2Hj71wZe7CcV0qVi4YIi2vLs925P2ttSArJe00R Se3jueFX7oY3/MlqrBS1zzk85gtLyIKLPDpSaXn3Bw5P11irPXgrKZL5kWqEG9yJ1TnvyJVGqVzS BiNxWyUIoq7RndSG78r7LYVF7/Dg4ABDkrbLd/kdjjSSUSS04EiRsI2p5q8ypHNTCXkdzD0Y9jAV jftYWPbMxr9UBl6/Y0GAvfWKmmyUvvrqy2kQ13K5HDdv3txgZGDkPDf0iko5jeitSKWeGwd4cT2K 4NIjHwhzMn9S60u4rmbC8z3cF2O86RWpoWHr9Xq8ePFia7+bGcDFIvWz9Xq9RRhazAOvXr0aL1++ HDs7Oxv3bIM/V5H3c6T7VN4zYTlmlTOWUinvlcqMdez0tGg06PVyQxffk8V5BmLepEv3e9wvkHII Lvl1o6dLLmlkWf5ZSqlglrq2xA/FNWJBAu+v1tWsz9V7QqNBhltXlZmOxPNPeN/0OllB5LJbl5N6 7VxObuNav2M3fCre4PdcXFxs9E2wkGG1Wm2RXCaqFBcJEL6p/cR9mKq87t9/sDXSgPeahqHREeJQ NDcvuqx+d3d3fPrpZ1tQaVWGVYVWXf96vd5gsODMF4+G8B6uta7KPBrxBw8ebkDGZbxTlNSRSsu1 hGWKhmGOjo62ksD0khJsMde5be8sVT2VHB4ebuQFDEOdn59PB6qgIRI9OnFb9+CyZ0cSaQSuPf4E rzkxnpLtbrLk6xgp1pqa6I85oDQzvSA+wyOF95diSuNnXRSQxgfPsfSmz+M9MWpx8p9FCMlxoAGp Mts51mxep+laCIeVoVqtVltsBza4c31Jhm098dHFD2YPmDPGtV+Xy+VG7s/Nl2dnZxvNkp7Z4ko9 GipPHOX9url47tl0pNJyZaTCA+BpfyTrY1Rjmoy5Q+bBRnOz45lAZBK6yjDrc4+Pjzea2sgN9uLF i7FarTY8/MViMU0GLK+Vni97bujpkwnYPQymiiladXuOTm5T6RW5H1/LslInsV++fDlevXq1VUrt 0mU/D0ZApYhoWG0Q6NG/fPlyLJfLrbks9sLtuZd3bb43EpBSWdUQKpbYfvXVl9M1//DDD+Pp06fT jBZ24V8VLRmOLSbm58+fj5cvX077mF3tHNJWUSP7POhY2dBy7dIYBeeWXIH3zTdfT595dnY2nj17 Np4+fTo5Ex6AR0JNQ1guDb64uBg//vjjxHXmsus6ByYdrQi5jUrLOxkVeoN1gGqyn6tQCG3xEKXD 5OTqnBLwWNvyqNn3UZvdZISusmHnuw0baVYIizEC8jWS7dgKk8YxleS685rMAKbcp5I1fQ3pMqgo TeWS+kU4/5zkh8b9PXHSdDocBMbPTuy56RnTeXCei+wHNTOeCrwMgftnnPNxgUkaj1CD4lK3uPmv 3AxcQ+nK2NFw8ow40qGj5bHZ+/v749GjxxuGpa6p7ruGl9UzMD8Xn7eLCOp+6/11TV988fnW8zJp qElS26i0XDtRT+/V/RbEn1277/d5yiATs3NzyZMSoofInAPniqRDXOSDpOxwAyVnXVTuyFVdVPzO z9RkyOPj42kmeB3sWqtaL3f/J6PD+2aexTkE5mkc4dEImeCzorU5yCtBXCSENH9ZMg4uFT8+Pp4Y cWv0MPmkmDeqf3sGyRhjg2DyxYsX4z/+4z/G//zP/0wRaRVWMGIr5c89s1wux6tXr8aPP/44/uu/ /mujHJnJao7IJtTmwV98nrUnaayphBn50LGo99UzIv0+R0+cnZ2Nv/71r+Ovf/3rePXq1WQQ3fNi upr1ej1Wq9X429/+Nv7rv/5r/OUvf5kinm+++Xr6rjLifL4eddDzVFreSahIHeK7scpkdfbqnDR0 RYqx6/LUit+J5IFzSdA5PL0Ormet+zPMxGzF7jkpHEZG7JoJVCrhGhXr0kxGVB7rWwe6/l0KjSNq TSjI9yWSRw5YcoNfmr2eJnUmmhQ7HzQsCSLk/ijDwdHFHFxV18CE/XfffTutyeXl5Xjx4sV4+vTp tJ8qenATK/MXZ2dn4+XLl+Onn34aq9Vqus/vvvt2+p5Hjx5vwILc2+TiYvEDIVgThyY41dM259il v/32mw1CzVqnilg4jI1/+NzX6/V4+fLl+OGHH8azZ8+m/UNDffv2na2iFTsavzSf0on691C8oedm dbhap8Jzwx6MHJgwZFWOv5u5GfcDJHoOHuTU3EdIxZGSq8xS/oeRA2e7u5PdHj8pQRz1eZiXB4Mx YWyOqSpndq6gPE/PfaeimBso5Tkw5Umb+oaJYDZF1ndUUYC9WVPS2KDVc6nybTbtLZfLcfv2nfH9 999NhuXOnbtTHuL58+dT2WwNnarKOK57wVTPnj2bIESOGCi5c+fuODvbiXCm+048gIwl78xf0Dlz UYjhusPDw3F+fj4ePXo8wVJffvnFBMfV+yuvVuelomSXSRd8zSoxV0u+Mdz7G3kaPl86Sr+UULIj lfdM3NXtZKNLE7lJ63CyS5ultnPT6pzTIWNuKo9kXX/qX/F1GvIy7MWSZZZS0ohRAbmpktg8oZzU aZ2Spsk7ZZRkin4rKF4v4cZUcUaFyORujfJ1xZqjFjsN3heGLx2p0Bj72bB83cSTBwcHG/mVilgq EqxCgh9//HFKQP/000/jhx9+2Pjzt7/9bcN4vn79enzzzdcbyflSoh5tfXZ2Nl69erXBYcbSc/cI eWQwp1Jyz9moMZ94587dLfjP/UgVnT179mz89NNP429/+9t0ry9evBivXr2KFDyEvRz5EwKmE1CG uSOVlneKVDy/gYqJiic12pl00UnvNBbYEFj93LNMXF3k3Ae9ekJAhJvcjW3lbYPHaMw0HEzYpwjF 3eGuqOOa1kHlpEhDU0yOs5GNhsJ9NaZLSfQ5qQKP+ac5Y0rDQ6OWPFlzjZm3rdbAvRDlgZcCpvde cFV58BW5XFxcjOfPn284OPU5di4IeY3xZib8zs5iWsdUSuw9zb2S5gzZIFfUQMeIzNaGVz/99LNp xHAZgmoGZcGJz1MZY/aaXF5eThEf8yieUVMwW2IL6I76lneOVMqjosI2vQqVZOIsordtBcqD5lwJ qTSuGpOb+hOszOxxu6IrQXr8+Ryvk2FBz66wAXGOwTxbbE50hZsLJfgMSIXvpKqb//wa3muqGCrF xjUj7Y4jRI9X9njaSjLzOXj2jftjShkyMq0Z8jXrhB78vXv3J+PjQVJ1zbXWTMhTSV9ejq1Sejoj Zpemw+J97zNS9+sBY57qWGePM4kePny0cc0pF8IKtVq7eo77+/sbFV4F85WxtXNG48mc0RybcRuV llkxFQgPT1LqzJHQGyJXUylIkwfaE3JTJQ+fk/UuyTQTLAeLpRHALN+lh+7BXf5O/9uJbJfIUsF6 OFUybvv7+xsVRMyzEJJcLpdbI3pNfcPvTcbfNOqGuUzCaePrAg0XDhBqTLQpzG+l2TNzdCuXl5fj 3r37Y2dnZwO2IpzzLvImOjnYyoeQxibl4Ehe6cjb+UZG7WQWoNNSUYWh0DJmjx49HhcXFxv3PMbY ijyuI7dv3xk7O5sOj6vm0qjoxEDeRqXl2jBY4eyEVRIcYArxUlZ1kOipMWlsuKlezyqn2uTV7VyJ WPZW2BssBed+jBTlFLRSHm6CNqzwzK9k6hrPdDev11z+wczMTozzUJtvzB6k6egd0RnWKyOQJniS J8sGiop3bs69ezRcvZdo/Pk+w5+ElR48eDhev369pWivq1jfrO9ia3AY831pSqkhXY8tcM9ImjNk Dq+5ZmHDq3XPl5eXGxHLdeTx4yf/+3nHW0wGjqwS9dFcO0AblZYr4S8emrm5HaZ1IC7sIV4eUvw5 AQAAIABJREFUfZsS02nTktuKXqLn2Bteq850eopMijqCYsFBykNQgdvTL5iF3p2T2SmPkrxyr4kT 20z2Mz/hvA2NNBkC6n7ZNOihVjUF0ZVw/G6uHxPt5lXzfRjCcx6ASsxOgDmyGCFfXl7+r+e9E7m5 HJn9/Xf7W2vrZto5aNKOgfMMXgPnkNL8Gu539pm4LJm0QzQwqTOeEPQbh+HvUXh9X3q/m18JybZR aXknsddZnitpTYwZm37FeQx+XimhNIWRB6+mPlJR0dN1KSoVBo2Ak/pMcBOyqXt0iWfid2LURUJM dkZ7Hjm9XX8HIwgaaHKXURk54kiVO85NuUyaSjdR9nuaobv86zkUHl/rWBGte4KYF6nSV5JsutKN EV/Bl2XADYvt7u6O09PTyEbg8nKXxNMxSjAne2b4bBzJ2tDYCBnS5XoUTMlckx0i9znVGSGLBPdF 7e/qceK+cJWfzwlfy89zrrKNSsu1xBi2vXZHMg7/k5dGSMqEf4YICAcQnvE0xDS1L+UGjIvT03bZ sMfL8ro8oGpu8qOVT32f+ckMmZXCYx+AczVe07nKOPfWeBSBE/P8N58BlWMaRXBVcYZnoidIKeXa uNfc58PcEvtY0tCzVInnQW+Mxhj10DCa+JL3QENvmDEpaCtl7hdH/HZk2DNi5yYxNHCtXNRiKNbJ fRfXGI79pdJG5T00KvbSqdDrYNWccDf30WNL3hD5g1LPSuVyrOTpydsQmSfLjXtU3Faa7Lgnrs4G vwS9pUbJNC+c10doKLHJErLwgDTDQ85bUNmUd51KgJPX6WomV9JxpgaLBQyROkpNhsuVaRWFFft1 PfvqQSHExlyVZ6SY7NPRBSEwQ5xWsIwUudaOUujA2Fli4YUjelfOpbVOESKVv2E97nd/D40Bz5y/ y6zZCbVwvrGNSsu1cyrGrcmkOmd4DH3YIDmxPVfzXp/JpKlD7pTncNksI5KU8yi6DHuArGIzVFDQ jWlMeOjJw5RYhI3NW+lwvQl5EUufy7N4xC1Ljuv77L26xygZHOL6hOYceRDm9OfwPYTlElyWoCJH 0laUrqIzlGYoleXKdpwI/5D52nCik+9eL/6e3+Fo1pV+dZboCPE5co18tubyRPV8yGM3hxqYmcLj H9qotFxb6qDZS07MvX6Nx/samuEmdm7BmPJcvwgVlKuQrNyv4vOykXIZcaKESeOLqWQ8z6T+cBCS lTaVWoIf6GUn/Nsepw2FiQ+JwXPoGiMhPjvnUExUyepA740Eq9IBMIRob33O6XBfh/eBS7ft9NBA lrEwhUoyDq6mS/BwmhNjuhhP76SydnRPR8+RpnuGeG+u2JsrPjD0R+eCDA6mDmqj0vJO8NdVzVuV QHcDHBOvPPBO1JP91JuUCoBz0p3rmJsR7vxEIkhMTMOOhK6iN6mKnDIGnEXuLv7UvEhCzar4SYaM UJEjECpW4/upx8Ejk9lX4cZFFjLUPXDksB0Gwku1LqkSilBjRWsmqqznyv2QFH7qkbIjQuZh5mQ8 84fK2UaUeRWfDa87ja4bZh111zOv7/VUUBuIZEztcPg8VVEDe6VSZJr2jteA1/CP4P5qo/IeSiof 5KHzzBEmHCu8Tg2TxnTNK1R5GnIfGadPNf3Gl+s9FSE4L0GPLU3tY2RgGIBKlBET8XUaNx5WQotO jJu0kPkdkz3y+pw8NkOxcyI0yOkZOsdjQ+eEtav8UnWUoy571s55WZkyoqPSTvAh14GRjhPcCaat xL8dHUdazsEkY8fvt6NGQ1nXQUOfcniewmoKmBSNmr3A8FZdU303qwydi/O5a6PScv0HDu86VQrR U+e8cR4EV1C5lJGblNg7m/3oidODLA+fNBzkTNquy9/Egdm3Qc/VCqxILR3tMF9S3+kqOCb/WaFG Q7tYLKbPcYUSDaop+h3RuYDCRsJ9P+anYtTG7yTUw8ICX9dcYjo5KlaENDrMcbBsurzsuoaaj2MI h4Sl3ntu8ExVdo4QGDm5KIN9Pi56IBScRiqY6JTP1Xkg5yz9fuda+OxtlL3P7BB47LILKWjkOlHf 8s7wlz21VIKYOtpT45nxfypfkxnyMKWudCY4nQg2JGYsOnndvNc54sa5iMslzm4cS7Qnzj+l97O6 yrQ27thPpdYslnBeKHGI+TmnHhAntTkx0556IjZMuQXCUvTIE/dUiqJTBZfzZmUECQX6mafIitfr 0bouTiDs5KotknESbuLwLjNMu8osFavYYUgzTlK1mvNjKTnvaN3rXEa9jUrLtSVxHRF6qi5tKpE0 tjZ5WOaMSr0JiVPLVVHpQMwleVPXthVq4qKysjSHk1l56V37fVUey8M4R5/CzzGBH/McXnfDgCmX QK/cyeS6L48cZmTHey6osxSnedvmyp3r+lPiPlUtObdFRVtRKyEa7j/mTpzUt2fOKJC0RFSwhpR4 rWRW8PjpBNf6TNmRMMyXKFvYQGmI2kUgc43MNPBm0ybcbNi6jUrLtYVGg15z+puJYHbK1/wUQ1Q2 Ft6g3uw1sMmNlu4sNvzA/pm9vb0N5cPcTikDhv+uOnLpLZss3aNjSMplz4bKEoNz4mNKuDyfjXMh zl2w8dI5qrmJg7Uu7Hep99KwJi4re7L8TipaKlfmMlzOmwodTH1jvjD3w/g6WY3nGTJ89oSYUjUg 8x1F3V8FGDS0rhy0MSRvnXNH5K+j0bOx8LVxvUiyWq+lo+Pm3pSrI2TXRqXl2pIULA+OewKsqErp uByRM7lTdzIPl+dPeEIiPSjmXmg0qsLKn+ukOBU+Dw6jK3vgqY/BdCDuhHYklowAqUgI65VRdLMk aeoJSTohzYjKdP5pvAENOXNsNuiMxNh4mZgSqMRpfOaiN0NmXhNON+TzSUwPLMygIX758uWGgeZe cXUhr+MqqhzmU1yV5ubC+kxWEBJ65V4yFb9zYN7fzE2yIoxwpql5PLqbOTQzGLdRabm2mHjP5aDV MMgKmkT7nXpJ6jWEmZy/oefESiByNZkSpvIgnlPh6+F1MuKow8NGQXrHTFaWYlqtVpMRoBdMJee8 gw1ayrnMGVEaItPrs9M9VaE5IT9HbZ/yFvSY6VjYu2VSvyZJGv5y/ojXMtfj4nwRny2jPSrOxInG e+UaGk6tfy+Xyy2l6gq7em1VGab5Oc4zEkpy3xcdkFTlxojIeScXLVxVOu+IuIwkZ7Dwc53L+cXF QK1m3y+xUnIi2/xJhjhSf4Mp73loUkLXQ4GsRKxoveFdFOAow0y6qVKIxopeK708V5D52kz5boVt SCzlfoyrm3rFZbSsAqKC5We6asiMvo4a7NHacy+osyCVmivPz5priDVdTZp5w2fl5HUqKXefh7m3 aIBd1u7cSyqDdnGAr8FRqfMePjNXsXd78mIa5eCpjTYwzm9yb7j03dBhKiTpyY8tPytScXNVba7V arXRUMcDeRXeb9LJNL+Cv2fVjSOhi4uLqQmTHp2NkmEvzkHnZELDWpyqaKiN1PC8DzPSUgkQKnGp qO/RvSy1jsTNa5iTO/Ct4Gh8/P+releqyZXPgetJqK9yaU5wG0aZG7HrUlcOr6qSbUcspigxVEZj 7mZO9mB5fWyMal2cD3HUkzjwmNR37sxGJLFHO3pjGXXt3aKuT9eXkvs8D+fn51NOZa6Z04YzzRpq o9LyVkleZUEsyciw650HjgyypZh4gNKQLnvF9pBZZulSRyfTjWnPVZmlXAzzD1Y8qf6f3f/2VqkQ /b2GsAhbuDLJowXY08KigJSLSLQmqemSRswd7/asE0syk/Bpvd1AR8VeA+EI7bg4w13zhme4N12Q kQpDHAHQsBhufVthiGcPpco2voekoWkYmZ8Pcy02ILUHagwB84JzeRw6QnQAGKEnWDaVL7dRablW ot6JXCfR6/9uhqMSYy9JUVPMzZE3NMAZEklZm5+JyqEUMj07eqpUBnUgK1fk6pxUSjnHcpvgNmPZ JZwRUgrEDAb2ro3Bl1FPVUw0UI4qnay3gTKeXvd0dna2kVPjs0hVbX7Orl5jZznhGI81KGPlHIWb HOcmNNZn1n7iNXgfUZknlm5GY4myxSSidkJM2W9FPzeojZVac6O0y5ky8wP3hvvOitWbzcPMFXI8 N3NxbVRari0sizROzRGj7F84Pz/fiA5Sc5vpwg2D2SP0rAu/JkUNbrBjAtXepb0uKmx39jvfQgy7 vL3EHjDnKTLRy4hgjnU2zbBxgtpzMa7zfsNITDYnKLM+w7kO5pwYkTpRnyInN8gSwkyG28UYho1M 0GkG4DTmOPV2sDM/RehzHeipWdEQLPcv4UI+H0NYPC/cU+yR8TTJlMNJc1RKqsqQvUSM5suJaaPS 8k5ydHS0EWozsWuCvTqUpLJw/qU2b4XmboLz4KkybIUhU6nV/81KW9eWoBfW/yfvzgeUCsYkfPTm CP+lkttUvWMmX/YlLJfLrcY3E/5RgXHmC++J0SFLaJ3XYDRJY2cPmb+jwajrqDUyrUuCJum4mAbe SfS55kkzBfg1/G43BxZxYyqO4D7h9dIxqs9jNaDzLDVpkfCZIbFUccfKL+c1XQJMBy6NvzbFEY2k o6I0wpn36si8+1Ra3lk8J8MejytQTNmShgexDNIltKbRSBMWqajcIZ0grfSzuY53Kl1HRaWUCVEQ h+Yacb64OaIcTfj97OmZm0HviYBUyJ4LQkPh2SLMG9F4MJJystjGiyzQ9XqXudpj93AyTwHl+vJz CDGVV8++DkZNc4OvaDQM+zl/mLxw5rkYrdO4pMZDw4KMNLj3TUlkaqKUw2IklUYh0xGgU8HcKKOQ uSiLjoDzQ21UWq4lFV2YHqUOX3W5c/O5konKm54Ye0mswAgTJFLC8jKd4zDsxGsv5Zp4khIs5ns1 Zu73sj+E9+MS34pmfKBLqRgCc4VUqgpir4OjDxrkUuL7+/tjtVptlEDbC6cBoyJiE6nzF4bsUhUR FbfzPH72TmpTkdO4zA1Wq6IQe/DOWTmS8iTLq6I251pSOTsjxkRZ78ZdR14kFTWVDI26m3Xn2Lb5 zB2B2DDTQay9W9BYMjhtVFqulKtm1KeJgY5IDHfYy+YB98FnaSkNBQ91YrplM6OrhObKnomROwdk zJ+H0wnLKjH2/dCj5XeY6M8dzQkTTx3P5mjz9SUox533VPKGCtPYXCpfFhfY4HideT2eL2Oj7ufk fWYeM0Nfc8Sa3hN8P2EhRxmGL7lOJjD1fpq7t1T95UpHj03g55DmZm78gs9zMT3PEaM62qGhKYdw Z2dnHB0ddaTS8u5GxWW4xIydSDWlS6JUZ+RiHqbrfLeruhxxsI8iJTrNKZXKbYvqnlQpxLatjAgf 0Vs0XGjvOzX3zQ0Kc6NpKq9OBQ+eougemarssVGmYpwbTVvQlaNFD1ZLxRVzpIS+XlLOuzrLFV+O ElNklwbOEdpMvHSmdHHfUoLNbKzSM/PYAucsXCXnPWXOsqsKIRLMlUrJ03lII4Rp0NqotFxbXA7q XAYVdR0Gz4XwTAkeHs75dsllUrhOHJqIcW7ynw+McX12/hvrdlNbSnAWBOEOe9K6uFHQlCakW0lY PxPjLBH1vXPNSaFD6NDMu/WnSlU9f52KxeOQi1m3Iica1TLOjg5ZIp7GRnMvUZmnxtmU/HdU41kw LpO3wrexckLaTlEykGnkgVmz0zAsUu24qCSxIXgdUs7O5dlkhpiL3q9y9qoZtkuKW95ZklfN8kw3 orls0qymV3mAiZxursM4UVgw+vCAKVOo+DCmRrJER+/kbqr6oREkNm+oMNHCuPqMkQe7nzkwrXIk hKlcXTSX10hTFQ0FWckU4y6HZvnZO3eR+lTc80DlSSJN5yT4/jlqGs+/sdJP/UPMzfD51c8dxXD0 cz0HJ79tEAjLkuW57jGNgUgQrvMzXlNOmkx5O0KYzmkmh2wOFp+LotqotMxKmj2fejPmuq2tfJNX zQPtqKhYeVMVFw+cDZDx4HRYUjUNSzU93zsRV7o7vmg82GPAqMKJVVeEWamxSZQ5GQ9zcsMklTQx euYgzOjrJj1So1P5s6DA0Em91j0wNOBOrJvChPk6V71V8Yi5xtxz4pJwwjWO8Or7y/t2/s5RRprd nppjTU+UjIOLHFzZyPPnqkPDX1W8woS9jb3Lm2udbYhpfLlvKiIlxPxLpY3Ke5hTcR4leftzkx6p UF1NZIqINJmPh4H5CnqRVCJpLjgNZKqOcoLWvSwJd+Y1UZkUrMQDngaUMcKYow6Zo/FPXE5ulHPp dIKxCOM4EZ3oQTwK2QO9SKuSokeLK7lY0eS5LlwXQo28hzQmwQ19NAwuZkjwoXNJpUw576Wuh3Q+ btR1abMjDEO0vHY7Jx6AZmjODorzhwWBusjAOTJHzR51kXJ/bVRarhWpsMnQTU8J5nIUQPzXkNAc jUe9njMjGLpbETtBzaFcKdLydTiPQ8Pk6KP+f35+PuUFyojY2+f1O3fCXp9KeLp6ygZ8jpLD0E+a dVPPzM16VuCEIT2Uiv93zsn0H4T93POQZpPQ8Jng01MpnWNzkQOV3ddffxX39t2797ZgW5fl0hh4 /zD/ZmiO+Svz1DmHSDog3pdnzKcycz5XGuuvvvoy3vPt23e2INW6X3bHpwmhNIT1fMqhaKPS8k5G xfPTPaSHEFcaP+wktSkt6CWn2RkpCmJVEauMeE1szJybD2/F6yRqeaLO46TyYvMnmVTRNDW8fzLs 2ptOZJuOJGxA2UORqM6dyGZESSXF6MCJb/eE+HtSSSvXwyW4c4Y/jThgDoJ5uVqPP//5T2/d299+ +83G/+/du//WCMuNiFwbOgNOnJOVgfk98n65AIPf57JmMzHs7u6OL7/84q33/P33320ZGTsdbMZ0 WT2h2BQJtlFpuVaiPtWzM5qYo3ogBu+QnsrQ8BqVj/MehqpSdJNKMgnbzLEZG0pxpY1pTlLym3CK DY6r2Fyt5t4O3k8a88v3JAPH37vggcbLUUVaY3ZQux+JCs+Q4pxhcRREzqo0GdH5Bz4jruF3330b 9/Ef/vDHjev6v//337de8803X48xxnj06PEWaacr5WgY3KtkPrdUKUko2HRCPHO8Dq4zo425SOz2 7TsbhiAZ2jIyFbUl3jSXYxsh6Eil5Z2Nig83lXFKkvMAcKOyScvGyDmc+kzOuieViSc6OnHuyMdQ CZPZc81u9T0soSXZX5rSaJoTRkquYCrPkIlrY9iJbTgpLz+X+lNFDjT49RmLxWJreiIdAc/+SFMZ +Z3uQE9EnU7U81naOCdSTea5+Kz+/d//HJWqGzvr2n//+z9sFDXQGH3xxefj/v0HG0a3aHfYo2Lj 4GFfyau3s0Gj7OS4m3x3d3enkQDn5+fRgP7+939Avu5wYx9+/PEnG84cjcy3334z7ty5uwHh8jn5 vHf1V8svgr/m6vldvuoSTleWeNpeqhBzRQ2VFBP57jZnEpN1+KkMeo5l1oPCTAJ5Vblz5Vl4HYxs +B3mpnLVEBVNVdw4qvD0ScKKnHlDOIZ5HCpGPhsabxpfz5qnonVxAY0zP8frRggpjSB2mbmhy7rW ijBoTM7OzsZqdblFF0PYlkbt448/GZeXl1ME8/XXX43bt+9M35uGsXnYmfe++z/mqseYIHcexQ5F Xb9zJpUrubh4vREBkW6H17CzszNBX2Wcvvvu23Hv3v2NaNQwtEu9XXXXRqXlrUIv0b0NzDlwOFVx Q1U5sMfYmjLE9fHG2D3217TuCedP152iLc8kZ2kmlWWaiOf+ABtC51qokKopkHCH19ZJd4+mTc2U VnBunmM5MWfHmAwywY3OKZQCJBaf5pO4Co9ryjXyc0jcZYygLi4uNrztP/zhj/97b2+++/j4eJyc nIz9/f2NZj0q6eVyOZ4+fTpBmrdv35kgoe+//258/PEnY4w3NPAsMeeed+lwra8rDF0uTQoWf87l 5eV49erVRhl1rQtzJ3fv3htnZ2djvf477Hvjxo2xWCzG6enpVvl2GetXr15N5/TRo8fjiy8+nyDA e/fuT2fXZ5XX4V6zn42GtJp9v4T0GKwU4eF2/fv+/v44PDzcKHlkGXApVBMqmjySeHSVq7JBjIOt qPxIW+EmRH6n+wJMGkkjUNECE8T8Hk+6JHll3Xuas2IFc3FxMUEc9soTlQdLrKtAwPi7q99swMnf ZW/ZPSamXzebgT3xUjqp+isVSNT1cD85iqv7pUH5/e//MBFkHh4ejo8++mj86le/Gqenp+Pk5GQa G310dDSOj48ng3Pr1q1x8+bNcXR0NN1fGRIm/Pls3yjx9YYXz2eaeo7oCPAscH/QQak9dn5+Ptbr 9Tg/Px+r1WrDoNy5c3ecn5+P5XI5zs/Px9HR0fjwww/HzZs3x8nJyTg8PJwMYK3n4eHhODo6Gqen p+PmzZvTvn706PFWbokNm3U26YDUszKs20al5a1Sh4VUHA6rWSZrQ2MaD1J5rFaryQv0Bq3X1uEw 1xffU59DY1Gl0ObVmqu5J9xUBoqHMs2idyVYvcYJ5PJ2+XMe0sKw64+NCJUUiSSZRC7FVEb84uJi rFarsVwup3yWhzvxObqclWXSXLvj4+NxdHQ05WQ8kZPKiA6FI5W658PDw41ZOWVYGfGenZ1NTsX+ /v7405++39ij6/V63Lp1a/z2t78d//RP/zQp1fpzfHw8Tk9Px9HR0fRMF4vFODk5GR999NH453/+ 53F6ejpd1507dzcMi3t26KSw+dSOWBl5MgVwf9Q6r9frjYmkZquggSt5/vz5+Omnn8bR0dH49a9/ PX7729+Ojz76aNy4cWOcnp5uOFt1hurPycnJuHnz5vjwww/H6enpODw8HE+efDp99nfffbvlUPI+ 6DT9Uu6vNirvmTghyvCc3puHdSVF4wIA5mqcpLciNZmhq2BMaFnfTyqTOlDp8z3vIg3/4qheJn6Z O2JehhT3bEKs/7tJlFTsNDiEnjx9koabQ9JKcaZxBfXMaMgODg6mwWm8JvemuIKtPPPENEzP2w2I aXCXnQnDdo72CvL6t3/7P+Pw8HB88MEH4+bNmxPsw88pg8Sop67p8PBwgotOT0+n+6ucSnnvjh5L 6dbapSKSNMvFzprZvt1FXzm0knv37o8//vHjadhdXXddgyn96xnX8yYrRhnX4nx78ODh9D2Vt+Ge q/WcGxvQOZWWayXqDU/YOJiOg9ELIS0m7wu6uqo7lxuZhsT5CfOKGX5xrwuvx2SGznOM8ffS5vpT 1CmGh0gjT5iJ983mPa5vvYYTHMlbRiXLoVSu+rLB5L1asTFfU6/nHJL6ThYJVP7E+bUy2invxP6R McZ49erVRv9Dau6z0V8ul9PPGKW8fv163LhxY5ycnIyTk5Pp53xGdhJML1TXcHJyMhaLxRThVQK8 ciwkB03ltcwhufPdxsxUMVznMn7s+WLZcEW8Jycn4/T0dHzwwQcbThz3JaO/NDL45ORkXFxcjMVi Mdbr9Xj16tW4e/fe1MNT++Hs7GyDnJRFOh2ptLyT0LsjZp/yEonWvZQyZ90TGiPskXpgiPeTkt4Q VP1dsEkZMypGHjhWs1DBEeJi5MKIjcrY0BUNhUtwXZbLfgxDWM5NEId3MQA5nlKZL/M9Ce7jvc1F EYlcM1HLeJ/Y+JVRZ/LXTZj1vCqCIozDz/m3f/s/4/z8fCwWi3F0dLQFxRHipKNi2iCPUuAeYGT7 7//+561y6J2dnQl65eA49rfQMXBHvEu40xRK3vMf//jx9JwqwuJ1s+qMUSWhSO5bQqGVe+J6fffd t9Oz5PUZpWij0vJOiXoqZVcEpRGwKedQEwMr6WiDRLjHCd06DKzASTTxNCRO9HveBPMPrqyy4iNs QCw90YIYJnOi2nxTNqip8ZAdz/5OJ98ZCRrPpwKpfEjiTGP5OBWlc0we3sXS5FqjMjCmdveI6Lq3 es4uyihjw47wio7qXjyELO3VNCDMUNGtW7fGjRs3pojx/v0HMcfISNoRMQ0TcxOGCGuNqfTrfNT7 WD5sg8t9maLH+r2ne6b+koODg3F8fDwODg7Gw4ePtgyx+4N+aSlxw1/veaI+DVPyyGAmXyuaKKyW yWkTMNKjZKK+yjZTGW+ab0JlTaPF13PinTvfLy8vt5hqK5ohlJE6m5lwd0mvvc3Uje75MGmMcCrv NaRiqvo0qClVZzkPYkp5l1iboocQC71+MxyUcXTlm+e7kGOKyqzkTSL9TQJ+sVhsdeMTxhzj7yW5 jDRMB8M9vFgsxtnZ2Xj58uVWf5UbcekUOH9Ue5psz2S0TgO8ShjtjTHGJ5/cHq9fv3ntrVu3xunp 6VZ+w2fD1YOJ4aCu9+joaOzt7Y1nz55tjT92z5h7mzpSaXmnRH0iuzPc4SSupwj6c3gA3PDlfE4a R2zx57LiiNEQvWRzcXk8blKG/FwTILJayhGUu85Nd2Kvmkly4/c2NqwySiXLicywogNDGzZWrHxj 5Z6LM/gcXDprxePSbUaX7timUXPXfHnrbIRNs+4r4vF4X8KPJu00K7bzjORzs3K1Mk/0PF4z/98V c7yXiioI87khNDkejMwZYdW181nT0WB+JUWbnVNpeecoxXOrWUppb5ykgiadYxe46Sjq7+Pj4y2l QVjJ1UrElKvDm7CXe2GoZAklVGlrSvYX7MbyaJb/0oAS4jPebENW11wJ0Oo5WK/XY7VabSSFOVI3 kVPW57ChjmzO9LBZCVTKqXIXpfyYI3DER+ilvpcOAhWXcyJUiIZP1+v1VP7MIgV3pt++fWfjOvj+ Urq+3zI+rq5ioULdy+Hh4ZQEr1Lckq+++nK6RpbDc91Jdur8QxlyD+1ySXl9p+E+rikjL7NeV8UY p2saDmWulDBxnUf2rnjSZKoKbfir5VpSB8Qsv1a+/197Z9sbR5VE4U4IONqfCxtw2LyiTQJ/FSlA HI/tMbazH9AZnnnmdOIQtBJKlYTkmHFP9+176/XUKddIrEQaXHItfRW5DevqyD+3VkejObmnAAAV V0lEQVTUVIws62REm7nQHyPQjJah4K6xtGmkjiiD0othZtc5jaJrh47GDVYwNDqGmL1HbK6NHB8/ XG5uDofDBZVlg+maHIEgDSyS9+DRDXSICHHnHKMxKiMfF5qKhp15eI90NYW2CQYbL5ZrJJ+6QUf+ GdIGbLUcfhsxzVEM/juPgXb/EWfbuLcp3jeNXEvZJnp2mtCs046GDKN2r5aBJI3m3ylgU+PQIOU7 PSelwe6X5Q+oNxGXFLNU53s+NfU1RuUzFB7MNtPBhWFuwBiONnOB9PGmmH/27PkB622Lauy1uQbk grw9Vh4o1gqYPmN+msVgHqikMcwp5lqIvy9/2+4v3+2Ca77LtCdMc7TaRu6rEXYS0sycvgEC9oQT IYQjyoAN1wj+NAr7M2PM9eV0pfP5nN2TdBLvx/W5tamZ6UUxkiuGJ9/r2oa5zmwEHbVw7b788su9 VBOfxZRBfma+M9LuO/3sEcAc+8xrmRuvNTc7Fe69b163MSojH5SLi4uDw252VRfmUxdx38V2uz1g 5mVKw1Ta9jyZL2e/i9MXTCOYNJLXa4PC+FyO2Hg9StBCNmiu6VDRx6haGeW7Yphp1LKWpPpwsx0V odfD42K55peXl3vKyoAApow8qtgNoFR+TJ205/aURf8t199RjqOQhvxzf02LZFLjIANCfh8j4NrY +8YuO+Lye6dj4v3iIv/7jGuDsze2bUeFPpctQjQLc/rM7t+/v7cXZp7KyEeLNxhTD4al+iD7s1Tm hiy6xmKafSo7pyOIsKHCcrezi5GOuPh89pz5bw8dI1SZk/vIlpx7YERD5Jdnrjg9SCVqVmHDRVs9 wZMWSX1iEk96q03ROwXqdTKrsntE6PU63++RzOyJoYJlf5HBHp5n4ggg95TOdEfMNJRNaQZIcHR0 VCcwsgDuPhk7NnTWsofYe+JIJdEYIzMbTDsNdtBa5NEo+a0HvB9t5MaojNy6pmLvxp4eD7shvw1G aSPjNAiVmtMTPjjZ2GzyakanHQgqD88bZ/+GaeOdBmSqqqXpbKDt9VLhtYY8/72hxvSond7j78I0 YOUSg20DwXVkerD1r9gz5xhkGih75N4j3j9uTmVkS2ivIyuvoWHELd2U5yeLdmPgtRPF9bESbuzS 3Ht8F0SyuV7kUQpO2bGe4iJ9S8u2NUnEut1ul6urqz0kpveyz/An6ZhRs59fpOIeCadCWKAncR8V n3sSTF3RFA29ODIdxwsLhJid7iYOZN9J7pk8WjmoYYolGSXXwOkmwl2dn265+CiiUIqkYS/QaKdq TL3CCI5sxXkHZh2gtxqoLJmJaWTZ1c2+IUcphpa73yhKPkq/8Xq1GoEJD0NsaW8/8urVy+Xi4mI5 Pz9fTk9P91iuPW/FlPXb7XYPrk0lyxTV5eXlstlsduvPefZUytynNMBM2brnxIy/rlNlT4SOf1mW HfdXYNdkns41goZz1Ep6I0K2ubdzHcLnG/rSJKZkDhijMnLrQj0VBMn2eGDZz0BSROfDG5LHfShW 2jkkxNk7reD0Qpu93jqJG6swFZQp8luHstNHDS3X4NdkEnbBt1Hiu5/Bkx49/pXGnkbKrLgtteVG uvwd0y9rdQv3qnitnU5xoyTTSRx5cHz88KCukX4aKkq+B6e96CiFYt/8bnEw0kPC+86ESCpsz6Dh mrFuRCqahvDi+cj/J2swa2xxAthw68iKfVD8j3Nq8t/V1dWy2WyWzWZzcGYzDbI1B/8dCLBJf32m 6S8ru5bOYuE2CogecfNamcYyTDHeUIN6kjKFuX82qrUoyzNFmhfN1IQJHE2wmfUg+ooKjZ4/Uy6G ghrtk7Uk7UeUpvsSWnGWXrfTQGRvZs9BewdcC0+/NNqrQXhb6pPpQY89YA3E6Ce+2/x8fX29vH79 ejcbxMzYTo+1EQocS3B9fb2cnJwsFxcXdYw0h8+Z8sQzgRqNTt6R+e9cD4pB9Xyh3OebN2+W7Xa7 a9JMA6yH5eU7vvrqqwOnimnk33//fTk9PV02m83BeAhGdPx3jNunFuonUvkM0182DE7JmGwyqYY1 j6aR31kR0pOkInP05JSEmyupEMkCQAXqmoUVoYcUxZPl88XDZUpnLU3g/LqL65yJwlRVGwzl2pTz +c0AOBIkoSM/nwFpVKR8R6R5obEgHU5LEZkskpEkkX3eL1SwP/74are2FxcXy2az2euo97thJMD9 xQiOrAYkLiU9jB0Ro+y8bxo4gQbEg+cYbTmF+uLFf/dAKdvtdjk/Pz9gm+Y+JY2+05vkw+N44ayv U17ck9ynRkOOURl5r5ByZM3Q3L17dzk6OtqxxZragkqHdQ+mnbxJrbwyKpYIGxbJ21AqjxMm0ure vXs7unQqbRsQ0oXEW0y+OwR8nDlPY2Mj1pQ4mYe5nkxZ5Z5DS2PjmTSQDV3W19BSKlNyeBk11tJ3 bfZJo95hDYvp01CgpG4S8sekmtogLP49U2C8/vn5+fL69evl7Oxsh+piDYn7y+jFGJJffvll+fnn n/eoUzht8fj44cFAsgYu4BgBRkBrHHesteXdJy137969Pcbgly9f7BnkGNQYQjoc2Y+pIaWmxEmT Z2dny2+//bb8+uuvO/QZz/p33x1XhGczmmNURm4dqXDuhFMSziH774zcYr480UJT+G1SXYxLDIzr Mxw9zL9neqnBRO0tejY3lQSf2dMWG6OvuZ8MbjDzMNMta0SPTuU0oWHzbA/Do3N/LmKzwEsFaniq oxGuqYEZ9OLbfmrjmt1AGAkvVvbLZrNZ3rx5s7x9+3bPS3cfldNRl5eXu9G85+fnu2dO5Jm6gvc0 nQ/WrvjuY5y4J9coZcxgzLQkaysmJD05OVk2m82eg9JQl7nnRJdXV1e79bq4uNhdl3xjThsz4nGm YYzKyEelv/izIw+jq4w+oQJuvEFOrRmu2NhQGfXkkLDASuXjmRLxTDNNkKSRzJ2TGNBeoNFtuc9E E20dPVKXEUPu0xGGoduNZoOfpxFmFOKpf6YqYS9IoydxJOVxzY542O1OZBnBAmQYNuuxoyfWGR4+ /H63jpkCGYV5dna2pyjtrbsYf3Z2tpycnOwMEYVRCtNW7jfh4DjPdG/9RGYwNrDAIAr2m+SZPUDu 7du3y9nZWXUM8plAhZPuOjk52dWPcr2ffvpxLzIzVJvnNJHPp/aq3Hk35EyflTx9+rT2SjC/7TQA p87xENprt7Jyzt/FfNPFuwPZOe8obLL3+sAyUloDFJiSht4vmy7JBsDopaGPHIW0NMraaF16ju6h aUV6phNd0+H6XF1d7dVw3HTK99P6HDwsqqVL2zuwUfVYBTscUdavXr3cfceDB98eRHdkbyZMPNeN kk26KxDed+/e7Y0s/uabf+9FpM1IECTB7ydLdEAnjORcfyGcnFFk1p0Du77//j8HzZNhBsjwMu/j GJzT09ODqIhG9NtvvzsADdC4u3b57NmzMSojtzcqTjHRa4lyMrKKyqd1olt5tCFF9uYMGabBITrN qYVGs29+JKeX1npniK7hIcuBzr9JPRKoskfoGgLrSM1pMRrcRrXRwBDMg68p/AxD87tzJORrk4Vg zYCYaNGQWV7DU0a9Fu6F+eKLL/YMS5Qhqd75WYpHCvMZmf5JXYGwbad+cu9GvZnfjFQ/NJROw3pa Z6KC/Mx59bk/g1LMCZY96pkoiappRLOOhLubuZgR5x80+Y/HqIzcTn744YfaeZsDFTJBRyROG7T8 O+dhrzEUk4/KysB8XYaruru9FY8b9xLvs9HBMKrJZMvWtLiWPjTVuBVUvE57sa0h0xBcevY2Rk6j kb2Wa80I0xBjRxb0zGkEudaN+NNIP1Ps5LkNS3fD4PX19YGSTeTSkFipfbTBWPbWj48f7jXpUhpn WebxtHVfM8h2KBrjQWM5CA2/n7nV9Hy+HN37mfO+CArhzBmes9zPRCojt5Znz57tjcxt8OCm+Jyi 8aFpxX0qYlOCO1XSRuw2o9JqQTRQUVqNlNHesmfLuN/E0FUqYfYYtPkxrX/C6T0WzG2omP7j9WmQ iShjI2Mz1vGomSZkpETARYvoXLNp8zxcoPakxJZuoSJmPezm5mZPOS7Lsnz99Tc7Rc++JjfQeqIk lSubMM3tRZQZU0REJ5IfjXuUtSQa3aRj2czKVG4+n3fpSG1Z/mjQtDFiSvrm5uYgMkmajyAZ13wa DU6u//z58zEqI7dPf0XBsGBoqo7WHdwICR02tyKfDYYLlW7ComKyl+4cvtNOUbo55I5e/DyN98y1 AD9Do0Nfmy9PA2mUj1NB7qtpJJAGTjCaaf0FjTnXn/XERDJVN5RV7oUGq33G0U6rrdgAu/+F/RV/ VR48+Pag5hEqHRNnes+t7VPW2Izgo3EyospoMTauEm3WorWPkcePn6xG1x5c5kFfNzc3y5MnT/7y d09H/WcmLNDZW3S9g79f86ip7HwYjfoyXT03tAvlrebjVA6jB9d7HFmx/4QpMxoq1jZajYgpJCN/ CFlu3p+fzSSObb1NbWM2AH7WkaEVvJsSTc1PZBP7aYwuo0Gh4baCbBT2a6SaTfL9jx49Xu7cuVPT Qx8yJH/2zvzrIEp1R7nTS4w+7NEzzelo2Xx6jG64R9YMTq795MnT5fr6eq+Q/yHZR3fdPSCEpUFb I4Ftdb+JVEbeKy9evKiFYyuSVr8w6ojIHXtzNApR0knPsOnxNlQgLkSzz4UKcy3nvpamYiqE17GC DLmfp1+6a57Q5zV+MK6LmyidK+c7MLLMdQEaMfOCeaKhgQk0FKn/ZG0IreU+uX//fh3i5v2Ra8cQ tzTnGlW9YcuMOonC4nqm+bKNEGjKsjFPOy1nZez95TSuI0DyrhFq/SH6fNaxkp7z+AXX89I/0xgy WGNrkSgN3aNHjyZSGbmduJbhTZ50iovInn9BWHBLIbUJgO37m/EwiCDfSVSTqfMdCVCpUnE7H856 idFJjpR8T+QDa3lp8mD52agcGsU518PK1sYn68tJiTbUpClx7YQGk9dmHYZr1dJ/XpdEom0WiNNc axTz9PgNdHAEzfVuo63pHDW4N/cDnYQ8lznN/Dc2Io0lwZBwZwBacZ8/+x68jzlTpsHyudZZIxp7 s1mPURm5ldgbp4IzhNh9DSxqtn4Je14cy2vIqRUvpzDaS3WxOM+Q9Bk5kJzWsBKlRx1yQkYmDe1G ZdpmwdhYkgCxRSw80IwmTFDpaZj0tmnE8hw2akl35n74Pri2bqh0Qd0UOUQJNgOQ/cDn4b6zp+1U YwwQPe5AZXltv4f8jsq2KexWMyHBKaMeN22+r97laDkRMAku7XC534UIPf/nWiTPgIEZpulxKswA HAIwPlXGqHyGRoVem+d6OO+fLvEoLyvKBi/lwWG/Bw+5vSNHFGvDwEwxQU4phvSGKOezrhl4WBTZ X2l0mxfH/HkMlXsSqCA4/pdRSZSuUWc2Im3qJpVcrkODRFCG0XuGQNuzppOQSNG0MFxzNtA6lZko s62njQq/2+g/3o8V5na7rY2rnpvDv6eRaeOjXa8i7xrXirQ+TvXZKXNtkWeEir2BZZpBbI2+hA37 7JGfzWzla985RmVkvYimWSTutLYwD9yUHkPy1tfimffMUYdkj8p5u90eIIzoIVvhGy1m+LGVeVMi XJvM7vYaUEExsvD44NZlTqPGqIsFfisLR1tGw7lwz8ioIdLcVLqW/7dzkPdh5yHf1xBlmc/DOoI7 7luqzzT+Lp7TSBMObwPVxP1IHnPtdWN9jJ8xHN5d/e4fYepxrYbi7AHRdGxSpXPlMd520PysbbxF mxb6qQzFY1Q+Q/GsEs+MYPjrIq7TF/SGrNzt+Rh55OvQ2LSZKYSEeuYDjY7RPVZ6bGg0xLkBGPL9 nknhQ5kpkzYINjrvG2GcHgxHSU5RsoZDxei5MuxjsGIjEaG/l/vg6Oho71mzTzgMy85EntWpmGbU Ws+P03uOKEyjYiXNgn0iN9cQ2rjnNrq6wZ1NLbRmJLn27NRnk6n7kNZSpnx+7idGoH7fRDr6PBmI 4zrQGJWRjzYs9vydd20Nak65GH3TWH0bFYuJ9oyRN29S2/CmGaEn634IHhwrCg96arQ0vi/CRO1p ug+hed0uoietxHtndEH4c0ONuQjcnoF5+XzGKUajswht5ntusGkTJtpIce2vr68PagF87qOjo4O5 Pbk3pxPbHvVgM+577osGYnGqixFAOy8NvegaGPeGz4eBHIwyGNnESGQvtHk5jsYYnTfeOcOffS9j VEZu98IRiXCKnj0+Kiz2OtibzCFiioyKjwfbKSKnJ3jYWkOhKVeYF8/PZiLm51mk5nRH3lcK24al svDJXh8rC8+2b7lwo4w4myO/X+PYatfn4DAqNdd0+A49rXGNqp8gAKdQafg9xMvprnyG1+a1sj8y e6RFmfH08/f29B1Feb8x4iRIg/fD/WhlzTqkDT/Pjyelsr61Nq3UdTaO287atsmrZmVgupHG1WwX +SwJOBuD8hiVkQ8Ki5/JS6eHZC237Tnn8ZJI4mi0DNNmRGk5jdKQaAYCNNiy02SOvOytN/LFPC8R amuNiqZGb2lBN1yatZae9vs6/dv43eZRu58o9Q/XlNYIQl1gd8rQa7GG2DJ/XKvpWJE65cSeoawR 6d757j0905EOI8g2gtkRn6ONvCca6fYu+DtHVW2dSQvk4Wc+d0QQtjpNY3hohXyO727putwTz/QU 6kc+SrzZOReFyoMwSPZUtFDdRW8eHHdys1O8NfW56MiDxNSLO9JdLOWhsgfmlE0841CrG0JKlJmN J6cKumbEQ5/5LkyprNFoGJHlZ/e7bJ4u00yefpmIjDDstSjo6OhoL9KwcWAtxI4B79mpGdLA+z0y cvK4hDb612m71j9jY5lncS+R9xXh06xhOaLJZ1wLcbrLNRQ6domg2tA3G+28t8alR8PYABJ06vhM jsLGqIx8VE2Fh6dh/l37YFHdxUh76q1fo1FjNC+T3e2OYEwzbhoT1mAcqdjTd0e3C6+uK/FwplnQ OW3Xa5wSo7JsTagGUxDAQO/aiitDmQwG4DqRULMBMOw82FilFuP7ZsTkXh4azXjEUZprs0fsbRM6 TKOTFBcL4TaOZBte67a3suc6e7on94PJWD36ujlkTbI2HihmB4wG2AhEnj2ma0layYjLUyxz3ppD 9VdkaFpGRkZGRv6+FPsswcjIyMjIGJWRkZGRkTEqIyMjIyNjVEZGRkZGRsaojIyMjIyMURkZGRkZ GaMyMjIyMjJGZWRkZGRkZIzKyMjIyMgYlZGRkZGRMSojIyMjIyNjVEZGRkZG/i/yP1C75+6jfH9w AAAAAElFTkSuQmCC " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
<td><svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" width="405" height="309">
<g style="stroke-width:.025in; fill:yellow">
<image xlink:href=" IwAALiMBeKU/dgAAAAd0SU1FB94GDQgYGAauqzUAAAAdaVRYdENvbW1lbnQAAAAAAENyZWF0ZWQg d2l0aCBHSU1QZC5lBwAAIABJREFUeNrsnWlzHNeRtS+2bgBcZMdEeP7oO5bERdy02fM355tjbEtc 0N3Y3g929jz19CkQkGSbMjIjaIsguqvq1r25njy5d319fT1aWlpaWlp+AdnvJWhpaWlpaaPS0tLS 0tJGpaWlpaWljUpLS0tLS0sblZaWlpaWNiotLS0tLW1UWlpaWlraqLS0tLS0tLRRaWlpaWlpo9LS 0tLS0kalpaWlpaWljUpLS0tLSxuVlpaWlpY2Ki0tLS0tbVRaWlpaWlraqLS0tLS0tFFpaWlpaWmj 0tLS0tLS0kalpaWlpaWNSktLS0tLG5WWlpaWljYqLS0tLS0tbVRaWlpaWtqotLS0tLS0UWlpaWlp aWmj0tLS0tLSRqWlpaWl5dcgh70ELZ+i7O3d/nevr/uZW1o+mX18fd3bs+XXqVj/XRTtfXzmljYq LS3/dMV6m53pz/2advN9fOaWNiotLZ+kYr3pez71HX0fn7mljUpLyz9duf7cnfhr8ODv4zO3tFFp afmnKtdfcgd+ykr2Pj5zy/2ThhS3/Evll1aA19efvlK9j8/c0kalpeWf4rH/O12rn7mlpY1Ky79Q uf4jvev7kPb6lJ+5pY1KS8u/jXL9lDz3+/jMLW1UWlr+qfLPUq68zr9ayd7HZ25po9LS8m/nOd/H lFCnwVraqLS0wmtD2tLSRqWlpaUNaUtLG5WWlpaWljYqLS0td4uOOgXX8s+WX3yeSm/if28l9WuW vb1ORbW0/KoilTYo/77ya363bUhaWn7FkUof4jYoff8tLR2ptLT820vDmVta2qi0tLS0IW1po9LS 0h50Rw0tbVRaWtpj7mduaWmj0tKe+6cdJfQ8lZY2Ki0t/0ae+7/q2vfxmVvaqLS0/Ft67p+ax34f n7mljUpLy7+d9/yv9tj/FTNOOkppaaPSci+jlX+Ekv1Hfe+nbFg+xWduaaPS0vIv8aJ/SWXo8b2f qsd+H5+5pY1KS8s/1LD80t77p+6p38dnbrl/cthL0PKvVrSlGOv/7+JpJ6X6qXvqP/eZ03N3dNLS RqWlJSjZmwzFbbzyX4tyvY/P3NJGpaXln6pk55TrTT//NSvV+/jMLW1UWlr+JYp2Trn+OyrT+/jM LW1UWlo+KaXbz9zS8mlKo79aWlpaWtqotLS0tLS0UWlpaWlpaaPS0tLS0tLSRqWlpaWlpY1KS0tL S0sblZaWlpaWNiotLS0tLS1tVFpaWlpa2qi0tLS0tLRRaWlpaWlpaaPS0tLS0tJGpaWlpaWljUpL S0tLSxuVlpaWlpaWNiotLS0tLW1UWlpaWlraqLS0tLS0tLRRaWlpaWlpo9LS0tLS0kalpaWlpaWN SktLS0tLSxuVlpaWlpY2Ki0tLS0tbVRaWlpaWlraqLS0tLS0/CPlsJeg5VOXvb3p36+v+5lbWtqo tLT8DKV6HxTufXzmljYqLS3/EqVaSjT9Tv3s16ho7+Mzt7RRaWn5lyjXpDD9M35ub+/XpWTv4zO3 tFFpafmnKta7Kkh7878GD/4+PnPL/ZFGf7X8apXrbb35fuaWljYqLffIoFxf/zJetr/nU1Oy9/GZ W9qotLT805XrLy2fYhroPj5zy/2UrqncM/nqq6/G/v7+3xXR9bi+vh77+/vj+vp6XF1djaOjo3Fw cDAuLi7wqRd/+98XL7afrc/v7e2Nvb9rzOvr63FwcDDGGOPy8nLn3/b29sZXXz2f3M/XX3+9811X V1eTa6S/HxwcjP39/bG3t7f97P7+/vZZxniyVeYvX77a/l7df312jDEODg62/379d+18fn4+xhjj 6upq+528Xt1L/ezq6mr781qD+p1nz55Onvnbb78dV1dX28/Us9R98T7qu2s9+b78GT7zN998O7mH g4OD7TrVevJdcj/UdfdgCS8vLydrUf92dXW1/W+/73q+ug6vfXh4uL1e/c7V1dW4uLjYrn39jtep 1q7up+6jfu/o6AjGfG/7jvb398disZhc9/LycnIetorx8HCyt2qPnJ+fbz/DPVT/f3l5OVlnfp77 gmtU75d7aIwxOYO1tvv7++Pw8HD7b1wLP29db7FY7JyPWuPr4I3s7e2NJ0+edKTScjuhAj04ONga kfrv2qgXFxfbA8KDZuXD/97f3x+Xl5fbDV+Hlget5M2br8ebN19PNvLV1dXYbDaTw7W3tzcODw/H 0dHR9lp1n/U7db91z38zVt9sv/vlyxdjsVhsDxfv7erqapyfn4/z8/PJ9x0eHkZF4INMZVD3WmtM AzTGGN999/148+bricGl0SilVP9N5VPrSwXJe7i8vByvX7/Zfubp0yeTtbUCv76+HhcXF5PvoJGs z3APULHVd/E5eL2tgoHipQGkEqz1qj1Y79sKlWtR92HjwZ9Z2dZ31O/t7+9P3hXvtfYS/9R31b74 P2M+JgaF78RnjutD5X94eDgWi8X2ue341fNcXl5u9yqdqVo33lPtSxrcOif17NxT3Aud/mq5Qxpm b3KQ+XcelKRQ62BRmfogU1Hy36+vr8fz588mipKHuK5Jb5wKtw5CGTYqFSoHGoyXL19NFIyvSe+y DNNms9lej164lUgZECrYOsDn5+fb++Yz13W45vUdyXhwnSrSODo62joCZcDo9b569XpHqe7t7U0U 3sXFxfb9lqIpD7wUCpWL74EKvIxb/ZwGo56Nhuji4mJHgdP5ODw8HCcnJ2O5XG6fr56Zyp4KnpFQ fe/R0dE4Pj7efk/dy/n5+dhsNtv75Bmod8JnpVKuPcGfcw/RcNY1655rb9Wf+lk9Y/3+0dHR1vmh 0q/3xTWmI1CfWy6X2/VbLBbbaI8Gis/LSI97so1Ky50iFSvBq6ursV6vt1ECDw69zNr49mRLIZUR sfdKYzDGGK9evd7xVqmcnFJK6RWnbhx92GMuz52eJZ+RXi3XhWtRSiVFLlQutSZMX7x69XqbtvPv Mt1RSq+uxYhxT1X4ufdU8vz5s510HdeXBp/K2c4DvXYruXq3BwcH27Wxx8uUWRnEFP2UQa7rM3Lh 3qOX7QiIhqaiUxruUpz1zkq5c43qHpNDUe8iRTDer6WguX+5R6+vr7dODN8Jo+SKXmhU6HjVv9V6 1bMeHR3tRIk8N7x3n5frn1mga6Nyz8S56VJizLPX5qUnnHLUi8UipgAcRThKYW3i8vJyrNfrsVqt tgeDBqe+214vDQxTbFQse3t7E8+9FL2VIu/Xyq/+3QewjEx516VsDw8Px3K5nCilunYZCxqoUg72 Ruu7qQTOz8+3a3V+fj4xDPRqX7x4OXkfjERsjFgDssGtdXDakF4yPepSoDQGVLCuNVG5UpmnCLC+ 4/j4eGssTk5OttHI0dHROD09HScnJ9t9a+eAdYaKfphyYp2o3svh4eEk+qQx43fb2WBKNtVFuAYX FxdjtVqN9Xo9zs7Otnu07rGijopE6v+Pjo4m98r1ZERY74HvzU4GnyE5bF2ob7lT5MLwnQXA2pj2 jOm9MYVgb8eF0KqluCBfnlYBBagEmIN3nYJpFqYC7JGXME9PhWVPsgqZVtopOmAxl99xcHAwASUc Hx/v1C+opA0UMJCAij5FWlRcVN5UrrxWGX++M6cQ6/1RKnVW3+GCtdNi9ORd03FB23Ujp6eo9LhW XC/uGT/f/v7+dk/TCPh7nbblPRrowXSgaytMVTnd59pHGS+fJ6eUK+KvFJ6dOhoT1z7Tz+vfWC9N 0XgblZZZuby83CoFHpy5P0Z7UXGW182Dz78Xiswb2KE4FQpTSY5Y6vfrANTvU6HUgT4/P58Yg7ln 4KFjLYHpkjp06bDVPdAQ29P75ptvx9XV9STqcT3AdYk5hcfrpTX1v9Xn6v6pPBjdpQiQ98J3zYhn b29vLJfLHcVZv2enwrU2/j6BIlbArO/4/aR0JA0xI5bkIPE5GbmW4WV6iO8pFd/tAHGPWqHzGqnW SaPtbAHTjfU9Prv1nDaANDI3ncc2Ki23Niql+NImtyfszcxcOdMM9IzrdxjN8DBzk9N4MeJw7WQu dz3nyRr+63SDQQt1mEvx2uhUuioV+it/nbzf8ioPDg62SoL1pQSH9sG3sue9UuG6UD7GGE+efDm+ //4PE/htQiExMuE7qEJvvee6l4pYWAujgao1ppJ0zcEKsKLDuldGWfSyjaayA+DaAFOMdAS4TjZc Xh++I9ba6l1X5EDjyAjZ0RrPEo0LDQhTocwmJGPGPcEIhudxf39/rNfrSfTrGs31L9Dw1DWVe1hT 4UZiXaCUo9MY6bNGTjF0Z/2j8r/2EOfy0CzIElTg2kcpeh401kmSUXz27OnWa2cxlGmPyunTw53L Mc8hg3Y8NzyPjTa9WgMVDHlN17Wiqc8RXpzACamHxMbZkSdrJIav+h55vZvWxtFGRUQuhqfIzM4J i+i+Fp85pcx4L05v+ntSVJPQWQVVd+rRUc6c8+Y0sA1jOSepz4Xni/fG2psjrDJeXVNpuZPwoLDf gxuz/lCJ0NCkmkId5PKEmMriJmVRlBBbKmfmeHmPpQRr8xNm6siEEdS33343njz5MqZJ+Az1HEyd JOCA+ybq2VPB2+tGz768yMqD8/Nl2Nw/4pQd00lOPaZ0UErfMBpiisz1Ca4B4cX13axDGT6dGhiT EeJzp6ZXG0hGiHOAA6Z6yvOfU5wJUZfqhnx+X7v2sKPaZIzmDBvXzGlKGi6mwogu5FlO2QfWlpgp YETURqXlVmKlQiWRNrYL9Uyj0QuiUk5etb/DKBhHLXNpsHTvTrtcXV1tO6etZIjoYtGc915Kuowq o4GUV09ppNQUx9/jYaZCqnurdEo1fTKdWL9bTXAsarsmkVIdpYRsLP05F5cNFnC3P2G3dmBYJ7CR Y8RDI5FSe2ysTelbe/qJpSH93VGZv7veIaMD7nsDTwxTZi0o9Yklxc/Ub/XYGJbOyNMpMq4ZYdVO 8fnd/Fxpo3LPxOktF0Vdf0gGqZQZaw9WBEwtzdUaSnHzWkwhsFiZCqY8+MzDs6h+fX09Xrz4anvN 8/PzyQHj77qWQjgo1yalRIrCw0VUK2TXH6i46l6IujOax012VB6uZzmlxGdjk2CKZtkVbmNFJ4Re O/t45qKrWndGl0xXkY7GSt89UDSmlW6y4+IogvUDRj78WaLlMZqN8GKiBVOE6oiBDoVTnkbr8f79 +4z4HckwiimoNo3zZrOZ3AtrZ53+armTUNl4MyavLXXLV9HZiojFQddPUtqJypfesw+/v5+UJswP m5LDcNu/9W/sQqR5v/bUU5rMefGUwnBjnovALh47neFCrFFCqYBPheN0n4vZLISnqDKtKz3zzWYT m+tS1GXjbL4toqRc1+A7T+kiGoLkQLmBlYbR13VUl86GebVSNJw471JkxnupnzM15/t035IL6wXJ r+9j+rr+bkM1B4lvo9Jyp5qK+ZeMppkzCPZ+rDhTbSSln+hd8ZBQ+a1Wqx3FRnhsgQtSXYNKhEbU jYJMYzElQ4ViOKjvyZ5m6vg3pLaESByuXzJSfk6mUOr7N5vNTj3lj3/877G/fzzW6/VkvWkY7Dgw xUOj6KZVo+hYtDYvFdMyrpHVd5ZCZG2FaZ20F1nz4TvnHpwDIRBUkqDdNrSuIZIvjxFdRUxONfK9 1juvqJ9Gh+vOtJRh7fxcGSOi9nhuan/UfdH4mPdr72fOT2j01z0TomtMyEjFPofkMcULu7WNz09d +V999XxCQcLr0ggVvQY7sZmWMkWGG+ZKuTGiqs/U5+e4zwzZTM1iVBq1hrUOTp09ffpkghBLeXvX d5xrNycTPdB6B24K5XOb5sSwVnJqMe3FVIwZf422Y2RCPjV3ohtmXL9faCmm0eo61UFuuHh91nvJ SCdHOWxy5V5yhGXnyIgs993QaTELhGsghJgbnODUWWok5ZlLPWe1LpvNZutU1HcVu8OU2XtMnIU2 Ki23EjKVplQHFe4c7Xyim2d+1wVS06WQbM80F0bauFPaKCfnlFlgp8dGD5dUFlYo9NZLaZr7iYST VGKE2R4cHIxvv/1uJ0piaohQz7qe02GJvdiRAb/bcFoaOtdBzOXmWpqRQXO0MEzR0aCkxkA3fjJS sMK1kbOh4TMwajO8nc4CCTlJrUNvnfUf1yRodFhfoXPFfWOSVBoDGwo7dM4kOD1V98CI0QV484XZ gWGURd6xNiotd6qpuG6RaO7TBiseotqYJD4sT53Ghp9l5PPy5YtJdGLOofL8Km1iJVy8UjZCVCil NMg5Rj4qKiwT/ZmTiykDKlc3TnpduZ7Pnz/b6fwnjNO0HmYJdr+Gc/gEKZAehkpkvV7vKH0+A40M FU69V5N1WlmT84yRI6MPGw+uc2IuZq8HIzPPcSnyxUJe8TnniEndU+XGVANN7GSQjTh12XPteJ8k rHRElb7Hc24Syq0MmqHKte+Z2k18YOa2a6PScvsXHjx/F+A/Fv6mWSClOOq/N5vNZO7D9fX1ZH7K crmc3IdZX90ZnBhzfQ+MoopivITzVSpasrHjdUiR7s5/pmE814QK7fr6ehKt1HUN4Uw1DQ+kSvQp jrRcH6lOetYlrPCYunRBm5Q+fCbPcUlKmutVit6pJivMUnZkKEhpmQR2SPBl3qPZnxPTsff4XNNo 3Qv3RT2315BQdYMFEhrPVP6Ors1EwXXzXjYIwISo5l2bS5+2UWm5VQrMXu7R0dG2A36xWMQu6Dqg rHNQudKLt4fNfDc9d3f6EgDANBOVa3Xpm2XYiuTVq5cx8mKHe/pDReVhTUwd1uGrCMapkvKq+cxG GlXtyGtnQ8cIjsqXaZnLy8vJcC5GGDQQBgc4mkzkh8Xm67pKYuytdaACLPZmPqvZpWmkGHl5ABWV 4OXl5daBqfeyXC6316r7MPS5PuM6joEbrrWxFmIYdaJiqeFbTmumOgcNCyn/GcXYoDvSquflview IPWj0RAnrrE2Ki0fLdTbK50Ls11TcT+CZ63M5XS52Vlb+eqr5xNPLXnmRuHY4zWCqD7z5g2v82Li kdsjdSOiFaW9VRpjpza8bn+7l68nzzxn6P3MXL/0rgzB5ncXG3TiGmNfDuduuGhrqLLXzcVpR7Jc T/PGlcJlitV9LTSyZYBTwZ31BSpv1m1K+dY7YjRkehM/nwETt2GQThMy+Q5I8Z+48ObSUW6i9Rm1 80YjlRCeJqJMjk0blZaPRin0bmrj0at1TtrFZhds6/MsXqcxtAlRVo2JHxsMxiiDUxprFgyVFZsd X716vUO2V96tU1Wu31jpsSGRVBwJGVURSD0bjWlFLOzWd4rFtQ5yknmN9/f3x7NnTydpL6Lnyltm hJkGgDnFRWPPGhTXMf2cyD4jspgicsHYhKFsUjVakN49I0/WcGp/+PpOe3l/EiGVAAJ1X6Q14Tpw f3gtXZcrBBojpdqbBjQ40uTe8Hm0M2QADR0OZwc6/dXyk2oqbnxj+FwKyB6L0ThU/IlCnweOh+zl y1cTJfvy5YuJwuEERHtdVLacIlh/6K3XhEkbRHp5nuc9NzmSPRDstTk/Px+r1Wo7ZIyfo0d6dHQ0 vvvu+8kzO5Xhgm0CCxjNdn19PTEo33zz7SRFl+hsas1cw3LDnmn6vSae1MhrplRVUlqG6c5BuD2D hnUKDsOi0mWviiMSR5zkz0pkjwmlWGwHTLHRkaBRY3R9E/mm6zlO/zqKSuvo+qSjShpiRyhOj7VR abmVUaE36aFbdSBqot7x8fHOpjfayQXcqjMkRU7F9dVXLyYRSzV40at2iJ74x/b29sbr168mNRTW IEx9YQNBL9HeplMZNaeFz1beImtAzPNzvQkYeP782aQm8OHDh7Feryegh1JIfoeHh4fjxYuvdtJp VCwsxDtqrNoZAQOsfxj5xxoBYdMnJyc7owPq3lm/qr1FlJhnwXP9XKBmCpZ1CsKjGbGmhkUaICPg XCTnc/oeGJXWGG6mP3mPdQ6cgqSxrqjSo5Nd7K99UU4XgQtzY4z9zPxsYnT+JWbU713/EgT628Wu RWvl/anK69evd9IBVPhULvWzguW+fPkqEgram6/mRdNRsGjIHpaXL1/s3OebN1/Hbmbmz6+vr3cM SXnrppFJXE/lYZJry8PJ3Gldhs8/d/7cEZv7dlJt5euvv4m0LF6/McYkOhljbFFmVKz19znK87pP 81Y5zWYKfht3T+NMg7+s/AwEIGGiG1Dn2BF47TmqexuVNKGTa+VI0/drZFmiUHF3e2JIcNTojn+T VHoYnOfKmL7FjBGujfm7HYl+/vnnbVRabicvXrzYgcim2dnc6FWjKC+b/RM+dKWgnWYipQW9JKaD fv6zvdzhcyIeP9UtEplm6jswkWMd0rnpje59cZH84OAgGsS7yjfffBu7xAlc8MAtPoPTXRWJ0eBU jchpSEdH/A4aDKZaE029KX7SpEgXkc1BZ0PAe609m6aHkkUiQbPtgLnml8AeZny2UbnJMUv/zqF4 5k5zOo3vgdx6ZsJIDZa8zy+++OIn78nm/rqHwjDZh9qzINL8Cg+2msPRp653eokM0d+8+Xr7nfbC PyavXr3++2cPdgjyyBBAJtbDw8PJTAkao0pnJNZZU7tcXV1NeLXM/WVUGNfz9es3W4VxVwPz9dff /D21sYuUWywWO0rUiiXxdhElZGXjqNERiZv5qByLKJGwZrPwmjfMBmmu1yMNCnM0Utcls4DniRQ9 vFM/FZXOMRpQMRMqnUZGsBPfHeysf9hY1c9Jq2Lko8+318ppvjT6O41taKPScitJKBBHFYnll3Tl xubbU2SKyDBYe0U8VKVs+XtzkNb/u4+9nfswuseeJCMPHihTYngWSorOyotPXFlWbqzFMNXz9dff TGpHBkrspo12qe+pZOdGE/OZk/KxgmLU5sFUVNIJuZdoXVK6tMYt8zpp6BoNi9OE3GeMyAyJ95o5 TWVgB0cEW/l7+JgdL3f9Mz1Vv8vUa4pSDJahE8f7rfXzufN3+VlTevbnor/aqNzjSKU2XnWek9zO 6ZI6rFXsc6G+CpJMdaT55S7op/ny6bNE5XD8sXPinNueuMnSYeWzOqVVPy8UD/PP9KJTlJKQTRyy lHo7/Dkqh+TBUzHYIJYjkAwxlbe5uqx4you3s5E83oTaYkqLyjxFwyZ1TAgy0r9wL5Mnzfv2pt4L RxVE983tlzmqePf4cD+Y7NLvJ8138fcaHGMwgdFsHk/N4r2HfTkl3Eal5U4Ghcrg6OhoQqnigjrF 6Qnn7etwcAAYlS8/78PCBjZ7YIlOpdJObrxMSitNyjOHEj3bVHPynPnUHOk8OD1kR1ylUKjIHD16 Ng2VtT3OOYWWkHNUvoYvG/FkGvU0GtfRg2tP7pRPhXTfO9fQg8a8l7n+Xmcj9hLZpfdgqpGk1BfX 2PeQoqKUsqMBYSTi2Ss+L4yinQojvNs1LRssz7H5udJG5Z6mvqxU2dXswrWLiPTkEpkivf6EErqp 5lL3UcaFoIC53hpTyfNQ1b2k2S2pAY/zOKhEOJ7YjATMcaeOeCvhNPOe/+YaQEqD8DPkXGNznnP5 jnrsMBhmS6PG73Ght7xezuvgOrr47QjUhXsTfjrKTWAB7hlPbmQdpwyM03++b+4hRxRcC9/3wcHB DootGQ+nnWwgUr3SKDE7f07Z8bx4HIPvbW6wXRuVlltHKvbE7GXSm+ShTR4nEV/JY3IxMXnGaZqi 57eX1IChOiRu5GKERSx//dzjfu1p0oBxRDDXwekEp5eqbyINKKPh87gAp7PmKHTSGGdTthsBlhpT PRnQqUgruzllbMeBEx8dRSZGab4L9vY4Nebvm0OiMWJ1SpORhL/fjatMbzr9yzVM4APzrfmZ6Ni5 7uh74llNM5Hm0GrJGTRcmQa5018tdxYW4+0BskDsFBE3Jo0Sc7QFPTVJXgIHGKqbaM+d1nDajcrZ AAJHJr6mB3k5AvL9Om+e5qjzgKeei6oF1fdXgZ/Nlz7wcygdNvnZYBOp5PVPhsCzbKzo/fs2SMko OzJlOpT3Zk/fM2T8PuaiZtb5nCat5r9ijKBRtVPFYrUBHKmWlNKkrOWk+/fExdSAStSc646FXkvI TCP0UmrOtRUaOWcD2qi03NqwONeeJgI6ZGa94PLycktfzwK/u3yZj59DABljT4XEcauOGEopsxjs xjAzs5rOw+kRzjdJHjLTe+l3+ExJibO4zHnkNADpcx7vbM+Y65EKx3YGaDTT81Dxp1pLKp7ToTDP F9fE/VC15lZwNiBpxG+aAV99MmSadrTFjn6j9piqS0rZDN1OVfH5E/mjRx6bey5Bo+eAJXVP1SXP e6q0ZN0zxy44U5GchTYqLbc2KExtzRV8U9HO0FV7QmaKNWMsPewEm02kfvU9qcDoQm2CWpo7zEqc B6s8w5Q7ZzHdHqo9XOa3y9O0AkuFfl9vDmDhGhYNqjmhbKjSOAM3c3oWumtyc4XeNAclwY1T1z/H BKTUlus5jmqdHnWNLRXhE5rNRXxHxYwKHIEwmuTclpT6cgOwvzMBDxI/25zhcvSZEIJ08HitNiot d5Jib7WHkig1UoqHxU7P3766uhonJydb5USv0c1argkYwVVeLxWGUWFpHDKjlpS7pqdphV9eMw8w vVwWPEnzUt/JJjmnGmwoEp16AjU4inPNxZxdVnR8V2n9nW6kQkr1rATNLcW4Xq93UHcplWT58OHD RLkWVJwIJnaT1+/wnti46xqP0U/J8zdJKiNYQ9IZZRlMQVh6IuFkVEIgAuHqpHshAu/09HSnt6u4 4uaISAl2OT8/n/C6zbEDtFFpuZOQyoMb3umludw7vePazE41uBeCn+V9UKnTk/RhppKzcnBXc0Kx WDF4IJQ971IIriEZGWXEGg2EDYDnxCd+LBsO1ynMn8YZIU4TUTGRw8u1H9es7GA4ReL57DZ87kGa K6in2Tx0dqomRU+6Ov45zI0pVxf/05wQp4bm+k1MU+N6CvcO3/tcipEG0LNSHDGTBWKxWIxHjx7t zJOp51t4knrcAAAgAElEQVStVlvDUoaVKWdnHhJLMo2QazVtVFo+Kp6vzoKhi9rps2l4llFIHP1q 2PJNjXKcy2HP1qmugm6mXpPUWOjGOVKWp/twSqQOKhFRHmPsVBTTfmbr5QwaFpnrGUqBGH7rFIpT kqbccH8GjVKNS65rkbOrlG5FjOYxS/vBvRZUbnRiDNk+OjraRrm1LnV/lc568ODBODo6GqenpxMe ORaoV6vVuLi4GD/88MNkbMJc35XThVXEd13RQ7BocLkvHFE7zVlK26CYWgcCCk5PT8dnn322ZXWu ZyWD8Rhjmxmo9frzn/+8nTHkM5NSo3WvtRc8lriNSsutair0WolQMaleMi5p1kiacpegi3PFxvQz F7GTt25vlNdj0dJ9LHPe2xxM08R8KSft1FrqxymlVN83F7WQn8v/bgQco4eUh/faOfdP7/bo6Ghn 9LBrZCnKSb0XBb/1uji1as4rUuDv7++P5XI5Hjx4MB4+fDiJVBjl1v3UyITf/OY3Y7VajR9//HHH mJhIsmj4HRE7ajYzBM/NXBNm/c5qtdoBcBg9R86xR48ejZOTk/Ho0aOd1GmaLFoRzcHBwXj48OF2 hIIJRk11w8FvHufQRqXlTpFKeZ8MdZl7TUXluXA6wRZdR3DBlYrO0UNSeK6JmI/KaCMqLN4rveW5 3DfXpDw4R1bmVkrDvhzFGbLK9SYRoY13ah68aQiW74EpQ99riujYfMqUJJ/bqRvfJ/eJhz6lAWFM nVbq5+joaPzud7/bRlEVmXgYFo0sRyOXkn3//v1Yr9dxWNn+/v5YrVZxcJUdKzIwp0Fu6bOsDzKq de2m1ruMwm9/+9uJsk90OubxqrV9/PjxODk5GavVavzpT38a19fX4+TkZGdPupeIxrONSstPqql4 0p1rBq6JuF5B40NYZJpz4fCbzW3uw3CR2PxdNBYuNpJhuQ45DYkjn9S8SG/Oxeg5FmajsJhqct0h 0dskuhKj5ZwCZLQ5R+M/5+GaTYGplaRYEtw2Nc7ORbdp7fyHKdMaDrdcLiejr+dIRXmfNHSLxWKc n59PjIq77t1xnorrKY3r+0iNqel3/K7ZbHx0dLQFKdhxMBFlOtPcOzUkrCD5dFRSn47BIG1UWu5k VIg6STWWuQ3mlBdTAPUZkxPy911nMNzS0NCUciEEulIgiTyPhc65nhIXLrkezsenRkga3oSiSamh VMT1ECr+DpFhzOcnIkd3VRuJ5YhjzkgbCm7KkRRNzdHPJ16rMcZkmqUZCk5PT7c1lETpQ6PrOpWL +5V+SmzTNITuxzFdSjkq3hvcD27anLueqY7q7zUB0pEm17/WpFJac8O9qv704cOHHSfCaegEpW6j 0nLnmkpt2DSfISlDKtGUvuI8DiKrbKBSPtld/ClnnAgRmQKxsmdx1l34VB5J4aeJmPxei6k3yttO dRXWgUqxmqvLqLZK7dgZcCRYRtbwWzao1jVZ6GYNx4V4e+kpUktjbRN82aOn01TCGlFco47d45Pq c/X39Xq9jVAMDvnw4cNEwaa+ndTXwvoJvX7uGzZU2gDTMHF97Sw9fPhwnJ6ebvdCmsTqxldGTak+ WaixP/3pTxEJaVi82wraqLTcKVrhhnVKIJEjplA/IYFSUdgzTNgsx3twCsUNhaaUcd9KIpz0IXQ6 Jk27dK3A6TKnjdJ8FCoggxjcfJdg0VxrG2FHnY4ckiNhkkFDRxPjtGthXHf2VzjqSag61lRqbVLK j+MMmE50XciG1GksKuOjo6OxWCy2PVqOOtN4ZNOcON2XGJ+d1kr1LKchGaX4mo4qElzbvSbc57We jH7KAag6j41Tct7aqLTcKJVSIfurPSdGANxgtTnJ3JrmY7hBq/79+Pg4zmMx6ibRhhst5qgnFchZ 33BEUs9MSo8UodU1WaA9OjraQR+l9GAaeuQJmE5TGR1kT96EhzZAVjJ1f6VMy4tPUZnTV+zT8B4i gMLKlnxWc44JIyU2OC6Xy21xnkbLKCXPqan14P7i+i6Xyy2Ts2tbpG1hr1W9K8NsWYc0N5hRYt6/ FW3SUeD1E0Se0ziTEef1GdHWOnPKqVO1Zfw4RvrnShuVe5j+Yk46DYKiJ5ko1z3EyDWKUgI8lMTo 8+DcxHfEA+80mp/DyBtCZU2zkrzf5J2m4m8aEeAejtQ7ktI2ppWZq5k4QmQvD98LlXhifXaE5TRm MoZudpyj1WGzaKobGZXniKwgwWVQbnqvKf3E6Mn9UIRwf4z8kl47xw47Ukh1NDe9cl4O9wn3QUVR 7oB32tmDtuY44Ry5GniT2AFo3Dv91fKThMZgDgWVZqp7Rnd5XkwRlDGhAvLAoAQScJG5Gt9Mi54A BB4olaKpSi9YUbM/gI10LLbyey8uLibEiZ7GWGtTzXceYeuUm5+LyovGoOCypqTxvRvGTMXqNJyV KhtWHU2lWfVM8ziF50jKjNFEABIoYnYCGsyEyvN1SZxYUQnv/e3btzupxboPUr+Y6t8pRkcxROMx amDfVBXXCTixsq9m1JuMvwEvczxgbPI1Rb85/wxUaKPScqd6CvPjPBzJg0neWJpn/rFeDqYskqft RsDUBZ2IAFNhm+mDOuxFAcJD7zqCm0JTTp/9AgkdxwJ/IsxksZ29Fx6L7EIvKUyM+El9LlZIfBcJ Cu06gQvYrg847WXFngr+jricEqSDcn5+vk3V+R27hmIl6/k+lRJietWjG7jWjLq8n5m+SqSSdtZc rPeMnESdk+Do3g9MBafeEjsDhkqbn47voCOVlp9UpJ/j10pT5GhQUne56Sg8I6M+66ggFcjL8y3o ZPLaaZQSIKA8exuM+r2ipEhTGRlNsFnNUQTXKM3JIClionKhESAajxHUTcg7KiCyB1Sh3JGGa2iJ BdmRkN8x6whVo0mOgVlzE+VJKU7WeFi7mCv0U1mSuDRxspldgRFbqn3UZ8l6wGmOjEhZE3L90anZ +gwdN3frM/XsPhgiAH1GE82SI7GK2Pl+qlBPIzZnoNqotHy0UF9cQpwtYkWQOurd9Ja68VNjlhEv zqdbyTFUTzNGGM7bGCTiQ36vow8rAg8HszfpSMUeeCIQdC1jDgzAe3Nh1mAF5uYTisdr71kgqXfH /UVpiJadkhSlOaowaeicg+F0ookxTdqYeNsSS3G9r+JaMyrQtRQSOibkIM9BpXNtwCv9lqZC0oAy bZoMehoRkZovKyWb6j+VBjSAIb3nnqfScmcpT92KJdGvG7nEQru95u2GUmHcfSL0Iuk5eW68p1CW Z5fSKKawT13k5m1yfYa9BPXvVBRmoOWz0yvkDPQ0bdFKjekaHmqP7XUKI81+Mdw6pUTq/hKVPqOI tNaJF433b2ZnR2CpLubGvRRden+aODQpUhvQuciEzk7tXQJRDE4gNxrrMB4l7RSTe2LsvDhycRSU 0JppaFkamez0K50T07x0R33LncXd0rW5mW5xBGDPl3/IspsGWpHF1c1jHqHqCIa0KzwQBe8tpVGK kumFUrhU2BVlsFfBaRUaIqetCFBg+iGtbXmHNJCp/mRoKg2GYb8XFxfb1FbiUFutVjv591KOZSiJ QvJ7pnFhIbnWNikkMhakyIgpTab23OFe73Gz2ewYCtb8zJfmOhqVKdOUJKl0VEQutkozuQ7IM0MF zbSYDVnqXDdSsOjraZjp1KSRC3ZubkoV0hhxryYofRri1kal5aNCHDtH2xrZlTrq+W+pMz9RVqQJ fYm8LvWYWOGn1JWZX6lgUlrM6DPfG/nJiN5KbMjuOUlDx+boQep3PRaWa2uoMz3ahNJJP5uD8jri YA3A8FR72NwL/ruNNe87FdiT01OGyhBdR4lEtiUQChVyGXrXV9j4S6p+rl1KGbKDnvNtuEbue+F+ 5u/SmNbec70wjZh2LTQZNBphrotbBRyJtlFpubUw9VUGxkqRaJC5DvVUb0ipC+bEqfjmah91D4wm DAyw1536QzzPhf9uqnNHY2YzttGZYyZm+qAMdt0H4ao2AokGnvfJWo6RR+7UnjPoTpFxfVjf4N85 Z4NKz4bHNTkbNxsFT/Ssez87O9vOEjEMuz5XBea53hGmCSvSLVLJeicJ0p5SjmZoYMoxpY4T3NrA jNSUe3V1Nd6/fz/GGOP09HRb86Qj5egujX/w2IT379+PDx8+TGo7NGbkEvOfNiottxZDfOnxmYHW VB48HOnQJx4lds+z4EikVBoZnOhgnCJyXt2Knl6iD2XiOXLPjfPori0YjUPDWB6x6xQeHcsIy2mW VHOg0WF6x53paWSAi8lUlFxvGu05+p3EhEyGaKafPBo4ed3s7yk4MZVwOUAe9uXoy4CCehc1GZEp LUeEfu+OvhMzs6O6xI1WirwAJsnwbzabLZUMe5K4Bx0h+l1wj9ao4YKi0wAzFUf0GJ2gNiotdyrU p2iCBWYrHXvXcykGQlI5x90piLmGO3eijzHGd999G5/j88+/iBj/uv/yaFPRMikRQ5KZ3uP91T3z GWv2N70+e6OMglJagwXer79+E5/56dNnkxSNEVie206l75ECy+Vy592WEq/0C42jU5aps56pGNfD OGnTkG06JJvNZvz444/j5ORkHB8f75BtppQYAQA0+pXm/ctf/rJVroZA02glsAD3RopUSL3i1KKN Pp02Gsd6h+/evdtG6HVuPDF1Ln3FvXp+fj7Ozs7Gjz/+uFPn4f/z3Cem8jYqLbc2Kolpl15dKtKz TkCl4MJn6sA2pNQoMHvhc4aE8oc/fD/5+5MnT3cUZ0rDJC4w3i+jufKEqbztYRM1ZB4yr4eVMO9p zpBQvvnm6x0jMze3w7Bm1yMSSWMieSS6ie/ZsHSOHqbSM5GmQQ6ugVUajErfxonvloVz1+U2m83Y bDZjvV7vzK5nkyrTfX5W3oOjVb9rfmdiZaAT5qi1DFbdrzvrPTcnzdK5vLzczqz/8OHDhNRybvRz 2jud/mr5SemvVIBnauQmb4VemRsTeXhSOiLNbagD+N///cfZqITKw8p1jDG+/fab8fvffz77bKkZ kGmjpODm5r6nek2CjjpVYi/x+vp6vHnzOj7zV1+9mCj+V69ezhqZr756sdO3kija6ZGSQJAedRqa 5vt3WjMNOvP7dk+UmQ+8R9fr9Tg+Pp54znRqEiGm9+9qtRpnZ2eThkI2DtZ3kh7G9P/c65XGcx3O DgzJIamkSSHkMQd0SN6/f79tYuU9G6ji6LkioLOzs3F2drbDcm2wQD2PzwZrbD/Jcb3+Jcr92xut TdHK+1OVly9fxkmJpnXnJnz+/NlWeSUlyh4Ck+IxFeJ53/X35KV/+eWTWO9ISoiRzeeffzFRdEZv OXWRZrXYWM4NxSKHWlo7FkJdr0nG5Msvn+ygslibYIRow/rs2fNJRFTK0X07KSKjV35wcDDOzs4m UHPeD/PypofxeOeKXGhsaZzLmVitVjtptWrSPT09HScnJ9t0nXubUq/Ger3ezqgn20BqDjw9PZ2N RLlOjD7Y2OgIyvWKVHsqGD73Z9V82Jf06NGjsVwut7N5fD2mNt++fTvW6/V4+/ZtrHeWQXOq1JFL /f8XX3zRkUrL7YQKMHm1VLoJ/eKIpv69DgXpUdI4X0Yv5+fn449//MNOSmeOyyj1IfztAHw5vv/+ u0la7Msvn0SEGD+f0nNpBgrvmQqIA5I8fCmlPOq6NigvXrz8+2cOd1JGaQ0ODw/HV1+9GHt7e9sI 5uuv34xnz57HYnilVlj89f2m3H9KBbnJjjT2Nw1xI7cUoybvO6aYKm11fn4+fvOb3+ykXxOf3OXl 5Xj37t02DXRTYZtMBnOs0F5LI6TSfJU0FM7f6UZNp5wJWiDbtuH85bS9e/duZ0zB3GhvpxVdk0mp sTYqLbPiue48ENzoyeDUHBErHn43N6iVND3Yq6urSYTx7Nnzv9/LNCddeXgzsBpm+fTps4n3/t13 345nz55vD6DRLqZTd9E8Te8zYsxzQ1xQTnUsGpT/u7/pmieF7wK0u97LsLx48XKSLnJNgqk7d5KT GZqIogTdTr1DxeNFUs6biuml4JbL5Q6CjJHMhw8ftoX2ugZnrjDiKaQeI6+UCiX82EAJAxwSUpBr 6/3F9KqReXXNqteVM1bPzkbiOkeVyjKYJKVunb7lWS9UGR2jimgZdZqY9K6y32r2fokhg0bEUJm4 trLZbGITXh322qym5ajNzF4MpryePXu+Q+dir5ewW0ZSZVg2m834/e8/H//v//3XRMkmhJrpXyod wd+rommK0Ozpzw25ooF1hFLPXNculgAWj03yaIbdy8vL8eTJ00lasiIXrl1K89Xz1j2kuTZlGPie uV+o0Mje63dGo8aOcfO/8T6cmqm9dXZ2Nt6/fz9++OGH8cMPP4y//vWv44cffhjv37+fwKgXi8UO NNf9NanHxXVB/77faxmI1OvCa6Sol0STrhO5Y9/nk++nZtsfHR1tn7k+yzNro8OpmHQyfm5FpI3K PSzU1+EthUZvtA7X4eHh9k9JKT430DlVUJP2uFlpNGhQvvzyyYRJlUr16OhonJycTOZ2UxmtVqst nLd+5/j4eDx//tXEsPD6iU6kDmUZQA6KoqI3xYbJHFMjaD0XC+1EqqXUII0615cQ00pFVeRIw/Lm zesJpJufqT/Hx8fb5zaPWs2CYcquJggW+3JSkrU+HjLFaM9TLrl2tWcMeDBVSb3vxBTNdFd9lvu2 6jTL5XKyt8sxqcjBvURlXG0Iz8/Pt58xy0Otb5pmyaZGRmj1XqtDvz5HQ829XGeY+8jr4XUnkzaf hVFUG5WW279wbC5vVh5eKuKUErCycIe8i9x1oL799ptJUZ3QS1Ko2ANMnpwZa3mQnj59NrlvKtTk tbpAz/SIvWV6jIlR2IeSz/zkydOJcki9Fcx1J8ZcU+zX36tYz/fCxj/n/OnZcl8wekkzSJi6YgOn G2X5fHNca3RgjBrkfk20MqxpGLHnuoGvUT9zFz1TQH4vPj80HIkpmvxtBgCUE1M0+r538qt53LCj zmTg63kXi8U4Pj7eOfcJoZkGpbVRafmoOESvzVaeaJpkSIPE1AVTBkR5MSfL69AzrEI6yRLLo/SB 5uHy8Ct3Tdf/U/7wh+93Di6feW40a2Ln5ejbuTnsTAfx50+fPpsojTQBstaSxi01ryXaeq77999/ N1krR5NeZxbjT05Oth4yDQxTKrxHetSeMukUWRp/UHvj5ORkG0Usl8tIGW9DbIPC2kY9//Hx8Tg+ Pt5GJ4n92dEw92rtKaYoS2nXZ2sv0Xmp+91sNhPoLtemrlX3R6Rbvev6PI0FEXiMOGkY6DTQiBkB VxGvmR3aqLTcSlKthPnZOiCpScp1ifQzFiod/bCQ7mu6kayUWaIA8ewJ5voJcWUazLQa9jh5T0wr JWr2ej7Xj5x739vbm9RR6B0z1WCWAhZwrbhpoOu72Ez6xRdf7tyPi7f1c9aSGJ2asp3wYUcdtd5V f3J6iOvP1KuNJN8pU7BU1jYyTpPxs6zvUWm6djbHRZamXfocuGbiuocdMBrbuh+exbrnxWKxNRSM Buk42bEqJ2m5XG5TlAafcA/bOHsvtlFpuVOkwrSND703JIWUGVYuVHSJXpyH7unTZzfOgmB+nkro 4uJirNfrHYRK4pEyjPjVq5dx4JHvk4bMipdK1Mo6wVP5zE+ePN0aCyLoGEnU2ntuSoKxmggxgQmq nuQ0nVM1qcHTUNq6rsk4uf71bIzSXPSvZ2RUWuvsvg7WcaioTQrJpj0aW6MFuZ6e5slivUc4EGhC 54yDv+YK6XPszW6OTFDsioIKBGPHiQgzGpZa41o/pnZT2tX31x31LXd74X9XfuamsuKaIyOsugeV OlMvhsPW97A4T6PknDONEjc4Ybv2vGzYyqPb398fX375ZAtdLiQNm/rc4c2aSBpg5e5xEzHeRO3u 4VmJ4sPd2E6bcL1NEc/UYj2zU2w2juxNqWdI79T9D44WDcsmRxqfvT7P6Z1Ox3AtTKvCa5GLi/Wg 1Izr9+BrzTFyGx1pZ4ZAFDfnpllEhh77ekzLsf/HEHI6JgYO+GfL5TISotKordfridFuo9Jya7HR SDM4WEhOXn2i8ua8BhIR+vufPHk6xtjbgVb6s4l00R3c9Dbt4Sdvy93NPJSOPFhjsJJIA6zqHmgw zRRQ+XFT97uZ1AOfjCwqZVfkgzTiSSGkhjgOaapnYeMq+zySAmQ6K4Ez5vacB6sZkcR58JWG5Wet uKkEee9pDor7sxjpmbLee2WOe6zSlNz/CZTgSMD1La+dWafJE0bkVmL4dloxOUN23Hh22qi0/KT0 l7uXqdw9gMhemg9OmvNtBtqS9Xo9KYoyOkh0KKSdN99UogFhw6QPR8FVCS+tv9O7I8WMpz3yd+q/ 676YwqFX+cUXX47r672d2olrAjQi5YEzojJirdasGgPL+3edJw1I41qwLpNy8HPvhdQzZmxOaTle w6AE/5z7o9JAfFeeCTPHDGDnwwwRKZp0Ed9U+amxNfWBzEHu07VSSozIP6a9PAKYBrhqW3SUiGBj rdSOVRqQ98kYlZ9p6Fr+ofLi5xXhRAnPDWzyP6cYeAjS/G5225sKJc2GJw15IstLKCkrlDR33d6s qf4Thb77VW5av0Th4dkWiZAyAQNYZDUVStVVCrAwl0LyJMuqSZSyJ59XilzZAe6CthWq+ya4dxJq 0J69a0FWiExFzfUPOWXq+2UExFQph4S5UZczfeYYDbxPvEaJPdsG2aCGNLSLKTKnWes7i7vMNZdf gqW4C/UttxbOKqHSSfxGVILc6AU9TY1gjADcQ0K0FNMahrw6lcUZI99++80Oyqqa/dj4RmWdvEzP GHfznutCrmukAWWcaJnoOOb+UAESucc+Hc9jp+HwFM8yDrUeXl/W04hMqmjCz26kIQvprsXU/dfn C0pb91Ld4fTeXZcySoyjs8tAliI1YCL1C805MvXfbJI14nGuDsd97Ii/7qk+y/1EIIJRZDWQi+i9 Mrz1/K4VuV+KztgnE6k0O/GnLy9fvtxJH7DZqjwYKu7/22hTmm3PcnDhlIOYHEUwtPcmT4PC7DVf XV1tvUamxewFXlxcjCdPnm4bEGloHOFQEdSQpKo10INl6ovK3/Tuju5Ye6p7c20lpRHNWEwl50Fl nijIiMb1G3rYNOo3oaRKYbEvJSHgjFqjR+53amDHXB2HP2Mtxw2yc0OpaGzW6/UOyKDSh3M1D54F N6EymqGSNvOwjYyjHqMhubeJCuM7dcqTIAlz1nF/p5HMBiN0TaXlo+IQ32kp9wIwX+7cMftZTIJH agx+hnM8Srk7FZVw/8T4mxWYqR8y3KZ8tw0VCStLWZk5IEGIbVTcn8KDWfPd3XRoYAHXuJQClVUa MpZmoid2aRMm1mdWq9UOao1DztyvVDn7RHx4fHw8iSAcodnTTyikNHnRfFoGALDIbXSgjWvtLRe6 Xc+hs+NiuIEXJKnk/ZqNgAaGfVDm3nNPkJtba+1tzHh/ZsvgWrpO5BTsz+2ob6Nyz4SbkDlnRxM0 NmYdTjBMDvyhV+dObxNFGoLpCIgHytxL5sNKKLarq6stvf4XX3w5rq7GTj7dqB56lp5omWbGM/2U muX434QIl+FgH0bqWfA1eS9GT1mJu6jP72CUkrx6e9VW8I6yOC/FxX0bZL8nrtUcT5iv62Fxrp0Z jZcM/k1ILUYcXGfTofg8uf+l7oX1GKK5nLKdI/Y0nNmIMK/hHHO2Hb1Ei99GpeVOkcpcB7uLmz5k dTgIR7WH6ZSCU0xzhyNxI6U0RGrac+FyDsWS6hQ0JOZVomFMSsNIOqKNeO3lcjlpkktNhenQ27im VE41udnokb2ACC+nV/he6/uYWkrrYKORxgTQ47Ux8zunIktMvfwO/q55x5iqS4aG828I8uB+dPRo iLnRV561YieC/8bI3evraKEiFqfnGGGYGYDXpJNUTotTrHYIfi7qq43KPRZ6y6V0PBnOzXLsmmb+ PaUgPAkxUeu7P4CKrgqLLvJ7ymTyhg0Fnhv5y27khMApRUN2Wef3WZR1PSJBR620qn5FJZGa00jp npB0HEZlI/7s2fNxfX0wSROmmhqjDCpuOyCeYUIvnHU086L5faUZ9o4u5qJZ1yrskTO9Y+VMp8TI vlpnRxquETmydS3LM+0r1ca0laPclMr095EKx/OEvP/Zy+XUYCLdLINlBN9PkUZ/3cNIhUqdHcPu FLdStJefUkYk3HN+d4wx6fROiKe6vmsJvDfTWPBQ1s+IfEmpDrMVGxrs6YcueDpCcFGZ8ubN6x3K EEZO9uTd20Ehaop8TVZAvh/XgVIPiccg2MDV9UikSEPiuSx8D0QtmX2a3rg79bkuc2Oe3TfCdfbe tnNhahh/r4EcCQVHDrvEPzaXViw6Fc+aMVlrclJMmsn3ayPvuTQESZhJ+peIVtqo3DMhIzC5mlIo 7eJe8QrRG/IcjTRq+Pr6+u+d9GNHoZtra27ee0qjsCeB0ZPJKNMaWGElqnOm3Ejmx7UhL5MP/uef fzGJDtMs80rzecYNPVdGbIbTull1Ljqr5yC3G/mh6ud1r55BQ2Vqx4TGw9GgU6x+rzQ49fxzI3w5 uMrvkUbVpJWeuljoKHKxEco+Nyem+qhoRMleTOh1GQ2OFjBCy2SY9dz1TmygaNjMKGzDQBZuGh3C lplC9OC7NiotdxJ6nPbyUs6ciBl7xwmOOMeIWvLtt99MjNlms9kSRTo9Rg/ZtQWPuqVyqPvjyOLU g+CBW6bXN0TWuH4qLqcVubZ/+MP32/4PMwG7VmP6EtKnuwbjaMP1FD+rPXMb87mO/0SJTni4C9qM XmmQfT9GVjndOQeRdgRjnjZH3TSIpmhJ5Jw3RVQ2dN6LdqxuqrXQkaAD4vVM0GkyWtezkWY/zUgx /5jZBnqeSsvdi2gzKQgeBI+3NQWKG+14eK3oaIRIRV/e6fHx8Xjw4ME4Pj7e6eGoA1JNiaanKCOX ujQ/SQcAACAASURBVJQvLy8nw7H+679+vz1oTDvwEJFWnzUBKjweSCpKd4DX93Bwlps+Hd0lcs+6 bjXBJTJLGtI//OH77fVevHg5YditvLznzdgbr5keRCtxSigZhuu7nKJKUyM5+tkQcIMnnK6ZmzBJ w2QK+QRTTs/L8QsJREFjVZEJnYbEd0ajuF6vx2q1mhhVGzE7ZDx3fE81SbLmzSRwTNU+eX7M0eZ1 qOdcrVbj7OysjUrL7SWxCTsd4UmAnrVBJVIhPhVnmqXhn5fCnyO5S/T59fM005v3VAanpAaCWVnQ M04z2B1FJJgn7yfRrlMpfPfdt5O6DwdCpcFJVGppBgtBA55l/uLFy5jW9Dx4GuTydO25VtqnUp/0 qp1CZN9PQnpxGJxJGvk+XeMxUs2je5NRSpGTU0K1r0mA6rkuhkQb7eaUE7+De8up2dTHVc+X0GU0 6ExVmaLftZsUIbmj31Mm26i03MmozDUZJk4hKrryfNiP4qa/5GnXpj0/P5/UVt68eb2DeklssFa2 hoqmuRBkCJ5Dgpn0knUN5/45VZIprLkCPWHQHJxVhsXQYAIPyI9mdFzyvuvZmOor2g4ajwRddp6+ 3pObAg2zNnqrPlf7w2vIKC8hu9g8SA6yNJKawAquEaMNK3wX5pPyJKLNqTenjJkmY6RkQ8HJjB4V nOpORslx79s4JZQc6XLmolTXUV3/7EJ9y53TX84ll+fKP1SoFY2wBkOPK3WsE8nCQ+LUy5s3r7dK ugrf9TkeRhNDJqBBKVAalC+/fDKpFXDscRpYxboMlWeaxEdlzO80+/PV1dXEmH7zzdeTAWAEFdhb JlV9Kfvz8/OxXq/Her3eridTfc+ffzUpEltxMmXlzu65McAGOrjw7WiC35MMW2o49dx4pnNI65Pm ufCeWTRn2s51tER0abgyv9MNihUdFFij9i2vzTQnn7s+R/AL142fYyTF69D4un5EFgxG3143P/8v QSi5d33djF33SV6/fj3xvujtM43C9FHyVstAOcVD40XvzykdK8Ixxvj88y92hoglFBd7KswpVd3z Y4xtPcNeoEEJ9bz0OtOIYUYjCSVXhshpISovjhce429TMOcgnaUwTJXDXpq9vb2dZya6rpScowoj ywww8PvmdUspEsZt2hkacVLEpG7xRFFvQkZHV06PusZkDrD6d48/SPNLGCk68uS60Qi4TyR1sSda f2cQXIjnSAXSInkdOHCt/hBuX4bZDNGsx/H5nj592kal5fZG5abipbmljDhhTpseU+XiK7Ighxa9 YafVmLIZo2aPXMdBS4QP+96IeBpjTCIDEl566Bbz1WnIle/BKSt6imZddkqv1u7161eTa3z55ZOd 36XCNo9T/Y6HgD158nQHbuyaVv13KtbXO1wsFjvK6yYyyFLUhn4TScaubqdHTbvC98t6jY1eqqkw wjQ8mPBrK3HymFHhuoZIJ8TPypQnDaGbKuk0JCZsO1+JRJTRdBpTbKABa2GpMZkIx7/tyS/bqLTc Tl69ehV7BoycMR1Kpa7MjZUmEloJsi5hSLARSyX/9V+/nygPz/+4vr6eeOg2TEYAuR7Ag2iSyTTA zJBmKr85jzcZlTK6L1++mL1vpxEd+diAlkFxcZzKmBM656Itz3Mhj1dKlTg6S30j9d1M8Tjq5LP5 c4kPbq6PpVgYysibyiT173haIrvc7WiwL8rvhU6W6Y5IsppobVh3Sns2zfxxBFf3Vqgw85aZYsZQ eq77wcHB+OKLL9qotNzeqOxsAlCGUJkRsTM3zIijf9nhS4/daYS59ICjlrvK559/sXOgnSbhPSQW YyrglF4jZNbNYokss+o0XrtS8E6H3VWY4uNcdkcEaZwAqTroxXome6JiL1i2WY3N1UaDRY8+9abY SDANVdc1TY+ZEWrv0jmgI2HaF9PvmwPLKEGnOw1ScfRiw2WnJY35NdSaxpupar7rOW40U+/PcfW5 wfTZs2c/vW7bavb+ifmuKm1VM0oSE6+Vbjo4KU/LAq3nYPNQHRwcbOsLdzEuz59/hQL59FCnuRCp MOtog+kwzl6xgk7sulQirD+4/6Du+enTZzGV9TF5+vTZ379j7CgeKylyiyUvl4SR5iEz/T69bKek PPrWFCxGbfkdEOE0NyWStRdH3J60yOumepjTgqwP+Z2n0dtzja40Vn7G9EwpFW2jYr4uMwDwuol8 1E3FjhJ/Cc6vjlTuqTx//nzn0LuBkN74x7ynNK+C38GQn+NNnVIyGSUjoQQYKCXEuRhOn/DgWNFT aRrNlb6j6gYcCpZG0joPThior80o0BMM5+aCuJfDniqVCNeWEUmqSZhTzc5EYhLeeqZIqSVYemrS 872mmoMZh9PAKz6DaejTSAE3UTqKcmoopTVtHA1QmBumNZf2c2+J5+2kcdXevzQ2HoNdRJTuJ3N0 SKBKRyotd5JS1Gwi5OFM9Ys5lIyVm71Fp6PsmZp+3ofWs79ZqOb0RBP1paKw6f6TITNjr+d8z9Hv e3Z9rdXFxcWOQrZHb6DEnBKyR8oiPqUMOXP6ZCTm91nBV8Ge6Sc3WlIpuVeCRXfT3Hjt6SVb2Xts tBkVUkqNDMwEiLifx89qRV8gBqb4GI3xnSfFPzf0yukqFtCZqnKqkoamzq/BBHXuEoWSEYSckWSK n4RMa6PS8tHUF/sUuPnSjBE2rNWGK6XFA+RCP6ks5mZTpJknrnmYhJHGiQbHaRgXY833xH6NdA0b QUc8HnHsqX9OMXlmBz1JEjzOzVZxk90YY5uqNODAXd5OdXpsQUxhzDgbKYowAso09YZvsxPctRMa 2KrzeV+kSJIoPpNbmoKF74UQdiphgyRSVGo0I42wDZGfI8GlPWOF0bONr0kfWRP1/nIUxnObBtX9 XGmjcg+FeHcqoblZIN78taETeaRnUCQSv+S9Guab5lS4I7sUggvCVPBuDHO9xB4aO8vnaOoZxRhG TEPFz5n6JdGvpznhTtsRZWQv1mkg03AwOmO+n4atIMXucaEyTHTzRFyZ3djpulpjKzY6HOW4JIJT RkWe75L2MDnqDPWuPUT6HEPrUz3MNZX6nPe5B7aZlZiDxurfKnoyAzHv/+LiYhwdHe0AKRixeZ/w 87UmptxJza5tVFo+mvoyf5Eb6mhEUv/GTR7uXK8BU0qk3/BURSpaD+NyCogHxcq5yBBdfPU0QivI ud4HR1lU2s71p/G8HBjlwqnrFkb22MDNDSfjO3XB1uk2o6/cs2Nj5tSklSOHQiViSCrfMcaWQoYR iweQedYHmzgN//bastZRUHj3kpyfn+/Ug9IESjbhJiPNNGn9rufXpFpKnUdnDObAJTQodGpc/+Ee IAmpG1m9XyoN93MjljYq90yOj48nXqA9FBJFsphMLy1RjtcmJdMwvSV7xj6U9ixT7tjNbXU46CVW pFA9C5yMyJ+XR+7Rxkzf2TDaEJuqhJ6lD2YpuYTOIUsy8+Qme3RURaNL5cFr8j74THPjC9ytz3SL obVGaTGStINAuh0qNDs0nrHDfUfjxchwrmm3mjlZY3NUaAOYRiCTxNMpwIqQWJ/0vkx0+TaINkTu 7HevU1HA1J7yu653dnFxsU2TMmJjtMj76PRXy50lKaBUtKZ36/SRDRAVI/sY3CVNb9CK1RDPNJLW EYAVoL15F1ZZPHd6KuW3GT2k8a6pppDIMemFO1Kk18j7SnPQnT505GilROPD65rH6qaObA8vI6uB P0PEnpWn1zTVXea4xmio03hjR2+lbIkMdCqMjZ0JCDLnULBeYeqc1LTJveL0reHVabojDbGRjm5O TeCOivDmWJfTO+hCfcud01/2usyjlRRXws7zgDPd4Ga6BONMxcqEMEupJCOIknI1A61nTtC4OALy HPIykk7ZeYyA+x1MmVLeo5mQOXck0f87kuKMEzoJqcHRjkR570QApVRXebJFfMjvoWdMpWXFZlZe p9U8C2WOs6sikvq3ROfP+z85Odmhxq93tNlsdmbx1L1WypTvxXvPUxKJQkz9V6memOppBmT4PTLy So6Me1poWDi1kmMa3Nzr67dRabmVEI1CRUBF40aySke4OEnPug5YNfoxiijKeBeOqUCcm6eCpBdY yteF45QuYQHVuedEe+HPOo1lxeLxu04LsRbCdWF6gwrEneJzpJX2TJnP53tx46LpUkzfQWNr2K9B DmZRSMqd6zYHGEiNhn6nLHanaZ1GdTmV5LSY/270l9+Dx2QnNCJTso4uU+RCw20AgdPKjEw8rTVF /2nPOk3tDICj7DYqLbcWKkx6y8fHxxPPmhvLw5lSbSV5Yfy+UqrmOrICTxP5bAAIV07khI58rDhT 5OV+E0/FI6rmJrZmd9WzZyRRgKQUhutdTF/M0Z0wCmWenQq6jJu97bl6A/PtiVTTNZVaC6fIEgsz e0hccPZkx+vr67FYLMZisRgPHz6cRBrcb2dnZ9vR1BzhQDQgDXFN1PRMkRRp2ElxjYQGj3WvhFyr mh33hQv99R3Hx8fjP/7jPyZD2gwMGGNMnt38bW6kdU+V4fZskmyj0nKrmoqpWezJ8HcZDicqCqdi 0lAlNn+ZIoJektFeNoQ0PuwX8ewL95qYI2ruYLr3hmtkA+a0BY1aSqE5OrDnaDQXi/amXpnr/C8v 1lHPTQV4o8cSnJZR41z/g/fYXLe+06mptlO/W87D4eHhePDgwVgul+PRo0eT+2Uktlwux+Xl5Xj7 9u12LG4Ck6ThVvwe7jVGza7lJJqW1Lw4N8qYbAc0BtVz8vjx43F6ejpOTk52ONk8XfT09HQsFovJ ED33TKV5Nk5/eU+1UWm5VfrLitFMp3P1CCKjaiNWFFO5ait7XjMVVWkIqOTdsEhvMg1SMs8UG96Y 855TgI5CGA1YEaZUmKPBND8kUfanplNDuV2ANnggzT4xDNdFZKaITAFCpVrIoVJ6HkVwdXU1mZfu iJIRVpqL8rEoerlcjpOTk/Ho0aPtNEMjoqg42aOzXq9j8Z0OBetqVTvye/N+dd+R/87eD1Pj2Jkh uoxIueVyOR4+fDiWy+WkB4iGvs5b7YNKM69Wq7FarXYiTKaYSfHi5tFOf7XcOf3FmkdtTHs33lz8 GUNxHip6b+wCrk1fqRFGAEYV+b8TEs10JqaGMbzXY4pLkXhuSPJmOSeGXi3/zpSKob8u/NaaV64+ TbV0REalSGSVFWopr1TEZgd2FeCZCnE/w1z9zQVmGpz6rjIyjMBYO+Os9UqvGhZ7eHg4/vM//3M7 VZGz35nmS+i94+Pj7Ts6OzsbP/zww8Qp4r2X4atGwuQ0pIjGU0NtzLlfPS3Vc1rYcHtwcDB+97vf jeVyOanVMFJMfUP1fL/5zW/GZrMZq9Vq/PWvfx2bzWbS6EgePr4Xwq47Umm5c6TiTZ9GrKYJezxk RO3cVGNhOo0InlSEJp9VKUcWwVMDY4okSFfhlBg/n6jSzUjL2eSumzAtxgjJ6+yUoVMiCXVWz806 FrnOzI2VaEgqFUID7IKyWQ3mBri5cTLRezhNl+4tUb2Q9qfucbFYjOVyORaLxSTSdcqLER0NTH3u 4OBgrFarOJNkjqkgNbea1811QdeEDE9PjbFOKY4xxsnJyTg5OdkxKI5+XX/jd5fDUMbaQJYCzdAQ p3k2bVRabiXM4Sd6cufxmcJKzKZUoO7G5zzuVPB15MNUhRvHnL5IeWEWUpl2cDHa3qhrC/Rmy8tj 4dt1B88Bnzv0VGBU4FT0RvEYxsw0CQ0GpWhWEk0LB1o5HeUmVzsArsW4FjRH2c4BbYQkp+bbvb29 8fDhw3F6eroTnRhiy4J/+p7ae48ePdoWshM9kdNpBGYkZeteKK5Hei9MNXkdmQI7OTkZp6enk0bT RC7q+58bWfzZZ5+Nd+/ejbdv304MlNFtadpkG5WWWwtDfB4iD5qyciPliTHu/D52snMDOxJJhJFW yKmIayUwRyXj36UyY4ov9cFYYaRGx/osZ7AnZJtJCYn6MWAgTWU0tblRRKZXcZ8MGyvTaF57ua7z JKiv04p2VpyidBRncklHL0dHRzsGjnDn5HRwr7ixkU1/hOeymJ4ogXxm3CCYmnEZ7fo88TsKhFD7 5+TkZBuZ1WfcJW9jmkApjIyOjo7GcrkcHz58iM5K2uc8u21UWm6d/qrNShZYey5OZ1QNoDzO1GOw t7e3zQUTY+8Nm+jn6xAkJWgPjU1y5seiwieNR0kpMVLImJGXz576WujVkrDSOXbfS62Ph1zNNbCZ fHNu3K7rU4kOxArW1PiGt/rdsj/C79IjFFyfS8raBpuQXXa9m+GgPrNer3dACjYOVSt5+PDhODw8 HD/++OP48ccfJ+/W/Sw2cu7RqbU22pFRhbv+63wVUWQCnhTKq+pHTMPWPa1Wq9kZ9E7PVs2wnqmM WP2OZ8/YMWmj0nJrsdefQmzPTOFmNJLJOXQqEW90d7XXtcpTZ5MbldTHaEF4f4ykaBzc6FbeXhmX +j7OZzF1vXnRTJfB9WU0YASWDZqNTGoATPBbvzf317AW4BRgShfNrVmqB9V/Hx4ebo2HIxGvh+Hl nktS/VJcX6PiyggSaEAgSYL81p44Pj7eGiNHpiY8NZ1PfcfcCAH+zCCYRPHDPT83CM/sygZSsD5o ByixRPC5y6FkFJxSqW1UWj4qieDPsysSUaCLlZ7tPVf8dHe9Iw4XQtNEQqey5pQ9D5z7a1K0wTqP c+0ktbRCME2/C8CMtBgdzRkEp15ScyIHZ1GhpDSl74cGxqOeE48WDYMNjCG1jsgcRdHg1T7zNdiV XmgvGy8bVqPk5tJ4jNBoFJKCTiSOc+vin3l4V6rVJVCAp49yTxPh5r1No8vUXopMq3/Hc4YICKlr 05C1UWm5lZAQz2N552glUhHaXhhrLvz73GG8vr4eJycnk1QCc+EFvzS7sAcgedogmXithD24qQra qb7AiY9OcTin7tSVC6YmmfScDSvXBCLgQK+6r/K6yRmWeNTqeWptbITIQmBAh42BleTl5eUEoeVU nWfX8L26JlRd89yLNiaeecN9ytHMTt/SaJ2fn+80vnq0Qao7mkKInyOgw2fLip77oepHiXyUa2/D 45EObly1o5b6pNLAuQQMaKPScqNw6iPTSITgOuRm/pi5exeW3R/hA0S4bRpVXMp+f39/qzCNy59L w9S/L5fLGFmkZsU0vImpj/q7O+Cdskkd0wQuJJbhFEGxED1XU0loLSt6E4TW73D9aSQcxcwNZpsj LtxsNpEnjKwATjk5/WUEnSPmNFXShsOjjpnSrIZCKlM3ntpD97vnnvbkRUYqZogohc097XRt1SLp +PF3Uo8NI1GuG6OSMqTr9XpSX2TGgkATsmy0UWm5k8wRMbJngxvTsFp/likkHooaxsQaSSk0Fq1L oRqdRgPCKMv5diqROcXg2oCHPvEZqhnOZIvuJUkKOBVpifRKVDgHBwc7UxZTHWwO+VVGkgaxnIgy tlxbGqQ0/MpQU9cQzFxQ68mUIqOBAmEUZ1el8xh9rdfrrYJNvSfcX65JUKHWdxIkYdaANE6X+4sG 0lB5nh83kXJyY6Xy6v6Pj48n6UzuOXfZOzLh3uNnyL7sehzh9QZq8HpMsTkSa6PScuu6SopaPAyK m4wzOBLskEreE+Rqk5YiIZ7fm9zd+e7SdxTi6Ikeb5oUyYNIz9Jpp4TMskEzVNqd1Yl/iUbKnnXq lbFRc63K3rE9USphGzMra/OFESGY6k5+NsOoSQXDPhMrazeKVqrT/Fi8b1MLMcrk+/J+qz1Y9+Q+ JEZYfMdpIqLJPw0UMIU9GRcSk4Qjee6vxGzgM2kqnDLyxV6Q+mMSQKXnqbTc2aDYC6TSslJmVzq9 Skck3LSpaEjjQlqO9F0sQqb7Mxy0DivzyJ77Uge2IhDXQJiiSVEYIxweflOgJM+aniw74Q0+YFRW 91N8VG4KpfGoiMpMzES2mfqGfyf/lQ2smxzdfU0IOD1eThp0T8ocu2/ti/R5OkD1Hgt5lhBQJDqt Os5qtdp69IUGS+tlSpOUSvR74X5n7cj3RA4195a4J4nOGOuYRPcRhFA1Raf4zs/PJ6Mn0vhwgkk8 t76NSstHxZPrXNyd67Z3l735rZyfro1+0+Q7G4CE7EpNeAYP8HBeXl5O0FJpjolz8L4G4cIJXWTF SKPK53CjY0LJOUJLeXJ6pi4il6F0r0bdk4domSnAUFSOMnadrdKJXkN7zFSCydA61WdkmvtpClRB 4+9aGRFtriuxfkjmBjo2xRnm2e6mVWHPCesgdHLssHBdU7Gfz+30J6noU9Q+5/DQ2LlplQCKNDG0 jUrL7V84PF3DdhN1BpWU51JUSoEbPFHOOw1A5BM3eiKETBQnNopOQdQ9upPa6bvyfkthmWCvIiA3 iTKC4RAnp7NoFBMCh5GOGZv9+WRI56YS8j5Ye3DOnlQ0qY+FDaxs/HORuyJB9yfZW6+oicVnj/Fd rVbj0aNHkxnqZjqeG9dLahNHbRWpUKGbRqUiCdIGOdVGeD3rV0zXFVEpP0OHhzWVmuj4/v37nf3O lKOBJ/zZZrPZRm1c94uLi3F2djY+fPiw4zja4BNp+bN1TKvZ+yVu4kv9KGYMTmSM5CziYCFGMKno nLy0yt2nWfP8DD3V1LBJJZHmcbuj35EHD2vdS6Vk1uv1joErRUKsPyM3G1qmqKhgPP2SCqUirmQw HJ0ZppwcAqf33ENjJcrfSVEqIy2m2kz5kUg7GWGwm3+9Xm9BHKQsscPDCKsQXsnZOD8/3wJGCE6w sffz8J0YEeWIw3UcN+/6u6rbvd5pgRSo8Ot9VnqLRiONRjCEuSJ2Ri2JusiRTfeptNxZ7ClS8R8f H+8UgVMnMBXCXOc2jY/nXjvMXiwWE6XrNFQVVSulxgmHheNnUbOewbBnRxJpBK4VeEqvuTCeiu0m z+TvMVKsNSUiixGTmxTr82VwnB6pfH+ladIMmUSqmMZLJ5bexNjLZ2LU4uK/R/qyCZCOQ81pmRv/ TCWephvScJehqnqG37shu6kvyWnbmxob/f7NYEDUYO3X1Wo1qf3RQSgIeKWqmNJNa1rPWM/MKDch Hf0uG1LccudIJXmlRMjQyyoFbhRWGriV5jx47gQ3riGn5Dmqg39ycjIxEkzrFBcSFdPR0dFYLBZb hVtRBA8r0xOpduQRvckAWmmkDmdPg7SxdM2EyrtSFkxNpZnsacwx4aWEvCYqjjQXJXVxp2Y5psgY 1dFYkpuMs3ROT08n60bgxp///Ofx8OHD8fjx4wlsOYEETCNEmHIp1Hfv3o2zs7MdQ+9ith0ask4w YuazpA521xrr/VW0a0emuLnevn07Li8vx29/+9tJQ2RKt9mBc3H+8vJy/OUvfxlnZ2fbyZHuF1os FpMajBsq26i03NqopEa3qhuwITA1innoVXk8zhsbyUXjRINVUrTkbLajok+jXJn2cFMc89Wu2Xhs MBVVrQP/nnoGrNhpqM2EXGIkkZsOaaRYSE8Ng57g51Qi6xz0VN3UmSjPCeX1c/q9ef2smMwezO8g ao/rs9lsxrt377b0906lpd4g1qZYizo/Px/r9XonOqnfIXeZU5WOUKh87Sh4Cmmi4vH9Oa1Xe7WY JsqhMMQ+8cExLVaz6ukgutDvmpJrOW1UWu5UqE9NVaUAyM1ERZaKr/TS3BBpOpWbZs5Xfte9Cx7a ZXqJw8PDScMkC9MuSLr73aN00yEr1BHTEsxZE+bqaOamtBrXtWCgNLgVIaV61BybcT27pzim33Pq yMbA6+PrmiuKyrLYEFK9Y4563mmjMcZ4//79+J//+Z/x6NGj8fDhwy3810O72D1O5N/V1dX48ccf x/v37yOKq76j3i/TkO6f4RqQIYFngxkAp15ZAzEtSn2GkOD//d//HYvFYnz22Wdb+voyrN7rtebF Hv7u3bttZFaMx0SA1R9GYQaYNKS45U4yV/A1XQo9qDoYZZCMaKJirUPlXL4b6OpAmpqeSouGwJ4+ w3wqKCpJGyEraRefHZ1xuBQRYHW4Uw9IHXp682TVZSqo/pvRW/LumQ83OoxKj9dk70waPZwMXiIu TD0YTMOR7uWmefT1mVpH99ukscMXFxfj/fv3E+XNng2mxbivKzr54YcftmvvTvg03z5F2yaPTEwC c4OyEm2O950Rk/XZmjXP2pM/x6hns9mMzWYz/vznP+8wMTMtycxCov7pccItdxaH83OzOpg7Znju 8LnCc3q5VHyV4vDckzq47gdI9BzsmUjNaizweg6LD77TOVY2BcU0lNM1GCpbGr9Ea5LSLjQ85pgq OLOLuxUZUAEnNBqjqTTrnsbA1Dc0DGyKrGuYvXluJLQNWr2XqkexaW+1Wk16aahgLy4uxrt377aw 2eVyueWzMj/aZrPZ1iYqfcQRAyRndORsA5IaDQ15J+DDEXkaUlfPtVgstgSfzgzw8x8+fBhnZ2fb tagozTDpKsrT4PH+uU9qTfx+Ob6gayotdxIzyM5xIqWZKu6+JUNxyvEyujCVhdMLacyvewVssJyW 4c893zulAHgdjzz2+N6KqOpwe3qhPdabmiLtMXs9XFDn+lARcEBY8ozdzEjP3tdzAZnrluhJKGUQ TJtu2KvTQayfGb3kmexFsfLhw4ft6F0X5zebzQ5f3dzI6IoyXdymMfJoBw9ySzQp3HsV5aYxAYYF z51RcokxAmFdMqU6XVsyoCU15Jbj+LNT7K1m71+kQgilPSQenNRoZ9JFK540/52eKxWFU2wueqYU GFNGph1hQdqpMhe9abTSLPKCODvycJcyc/FGfHFNyyO1IaCRY79LMuSmabGB9ZpZ8TkarJx8KZs5 hgLTnjiyLCNr5gUbxqodGVBRPRv13aR8sdNT9/zu3btJbaC+x0bQxr/6X2odE5Q4GVPPvEkQ7HrW ihroVJHZmvQy9Xur1WpnXlD9IRDF9EOkPHIale/QzaYFO58DaLRRablTpFIpHips06uk+ouLdTFS EgAAIABJREFUtI4iGLXM0bl4ONTcmNzUn2CPzEAAo85SSo8/n+N1clowQS3nGgXrcFKZcBQvlfJN c9ZJwW+PmoqDz8LfSUV3RwEs/Po9uW7m8cplJOt9FiyW7yGBNcz3xTqY61NWjmRxYG8O9yLXmsSf qUueCjuRkLLxMu17nxGmm0z6ScNTZ49NjhUZEW7vNSRohXW5MlQJmcfBZ46YCa4wGKaNSsutxakm F7Wt1N3VbONAr8nkgc61u6mSh88wRtNwOOXAwWJpBLBhyyldlUAM/m8XUvmddVCpYNNoYM80qVQa C+zue1mtVjsjerluVcy1cXStjM1uTnO549vG1xxojOhYB3IajSzAKeJM0Ow0jTEhBo0GNJPwXBrJ nfsexpZqcCSvTLUjRtqM2iuCMMyYBfPU++IzRjYLGjZ/nvW54+PjnRESiZXbkdhNDORtVFpunQYr 6CXTKikdYArxUlZ1kNz3wSYwK3N6qGRUrca7KsSSU8neYCm4Us5OD1DhVGqF6RUfKCs89xt4Frmb JM3rlXi5qIioCOgh81Cbb8wepNF0CSFnI0DFSyVN5ZWiBL4Lv2/PkKEnb7Rfovyx8XZayaSi9Tk+ hyczEuSwv78/mdtjRmk6PBSndD22wLWINGfIHF6pIz8BQNK4YsPi6xrlWFRPS/137fu5rn9Gbyk1 2kal5U7pLx6aubkdHtpjPiPzcPGA25uyR1qblp3tLm47lUQFu1wudxiQmTJwBEVUTKpDUIHb0680 i2GmPoiuoySvPDXSJbgv8/ce4mT2Wnf8V++Oayz1M3JkJWSbI1B6vWmUsueqJNCGowynSc2XZlCG 00E0HG5mTfUgMzl4gmNKTXr/us5gfjrXkNL8Gu5387URkk3aoeTkjDG2Q9fSQL2Suh6NSKIi4rMS Kt1GpeVWYq+zNmF5cBwklNI/7ljnZub8CsM2Xbgs75EKgZ6uoahUYjQCLuq7Z4WGhyy59PZ9uBh1 EQ1jFA0VmQukqebBaI3RHHt1krKk4vawsEQV4lpGouw3oaN7Xuo9VD6eHejuCq/okoV3op9o4BK9 C9FjyQnZ398fDx482KFH8fpSITL6s7Llvqx79LtxJGtDYyPklC7Xo6KJRCZa62wK+jojRKVxX9T+ Ln407guj1HxO+LuJm6/TXy13Euew7bU7knH4n7w0pqRM+JeotUlhkjjDXAgvTzXVBpwXp6ftgVAe L8toyAOq5iY/WvnU9UopsGbF1E0pPPYBuFbjNZ1Dxrm3xqMI5hii7QRQOaZRBDeBM0hqaCoaOhGu tXGvuc+HtSX2saShZwmJZ6YI110YnRhmbmg3lSv7llL0bTDEXEMn940dGULF7dz42l4rg1qcinVx 3+Aap2N/rrRRuYdGxV46FXodrKKGcHMfPbbkDdVmdXqKRcri+TLyxI1aNG4sartxj4rbSpM06Myr s8Evpd5So2SaF877Y2ooscky9+4BaU4PufBuKnf3P7gO4c/ROBhJR8NPsIBTpGk4WKob0TGoKKzY r+vdHx4ebmGtFd2mQjThsIYomxOMEa/hwOZ+M4Ta0Z5rSHaWCLxwRG/kXFrrFCFS+fN6H5uvQmPA M+drmTU7ZS2a+r7lJ9dUnLfmXJQ5w0MPzzWUVNh2esg1GhZNHXKnOkdqVuPBc82jOLvsARrTT0VB bik/H5kAeIDZlc6Unb1W/kmTAp1LT3UWk2ISclzXs/fqHqNkcJjXN9suIw+mOa18+Rmm5dLExpQq ciRtRWkUnVNpTqUSrmzHiekfjkR2OtHF9zRnJdVqHM0a6VdnKTVZeo18tubqRPUuODjPWQOus1Oz jmzbqLTcSuqg2Us2KsopJh4I97XYG0tjbV2QnOsXSUgxH2LXCFKHvY2U4aaJEiaNL6aS8TyT+lM8 Z0lpU6ml9INhtKnIz/WaA0F4VC6Zjt1AyXfnGoqneBIdmEhIXQegA+AUor31uUY793UkrjpPx6TT 48FbhJzPGVPTAM2lh9OcGNPFmJ+NytrRPdfQkaZ7hvhsRuzNgQ+c+qNzQaJYUwe1UWm5U/rrpuYt TtxzTpZFTcM4GX24070UrudJUOmZCiPNCHd9wsV6R1E2Aj7Eid6ENP0s1DtNRyVmgAFTfJXisSFj qijNOjGSKaGSaCgYHbKvwo2LZgcmWoxG1Z+lQzI305wpPdYhmApkdFopGCv81CNlR4QM0azJMJo0 3U+igTdrgr36BAl3w6yj7nrnJNE03DrVNZLzwM9Q6Vfqkb1SKTJNe8drwHto7q+WnyQJPugZHx4l THoX0olYMZt6hd5f1WnIfeQ8fcL0O79cn+Gcb+edS4GlqX2MDJwG8NwOpmgcxdDLM5TVhXGTFrK+ Y7JH3l+i3LipJkKDnN6hazw2dC5YG+XnuoMbER3FMaKsVE8idKSx89TNZMBce3CBO6Vpq/BvyLoj LddgkrHj9e2o0VDWfdDQpxqep7CaAiZFo2YvcHqr7qmubUZwE2g62myj0nK7Fw7vOiGF6KmbINCK xOyrVFjsr2A+2dxcnllRHj5pOMiZRE/SPFJ1oM266/RCGcYETWa9hPTqVGyegW7UVxnQ+h4jlGhQ 02wTo+K4rjYS7vsxPxWjNl6Txp7AAt/XXGHaDkriwqLRY42DsOnysuseav6HUzi1JqyHOVXIorlR Y44QGDkZlME+H4MemAo2EtHRQO1FwvYNsTZ1ED/vWgvfvY2y95kdAo9dNpDCBKhtVFrulP6yp5Yg iKmj3SmB1EBH5UtKFRbRmdZwioKFYOeyHZo7H+8DzmedI26ci7gMcXbjWKI9cf0pfd7zXlxDSt38 nunu+o+LwYnmxOufBkZZ+TkSmBsj7D+pKdKNsjbiNlIJweW6WRlBpgL9zlPfCe+7UnAs/hvpZfg7 GxfdG0PgBdeRkaSZm/3sdhjSzPiEVnN9LBXnHa17ncuot1FpubUkriOmnqpLm0rEedg5D8ucUYnW JHFqGRWVDsRckTd1bVuhJi4qK0tzOJmVl961P1fwWB7GOfoUfo87vlnn8Lo7DZhqCfTKXUyu5+LI YaK4+K5JeMhhYnPpHgMbiLjje0uoJde2qGg9YprvlmSMqahvz5xRIGmJqGCdUuK9klmBz8VaBt+T z5QdCaf5EmULGyidojYIZK6RmQbebNpMNztt3Ual5dZCo0GvOf0/C8EeXcpphqlGkeCwNGykTHej 5RyiyHDaUnxUPqztlDJg+G/UkaG3bLJ0j45TUoY9O1WWGJzn5sZYUfPduBZiZc7GS9eo3DxH48nm QyoTGtbEZWVEE69JRUvl6pG7Bmak6C0ZXtbMvOdcC+LvmmGg/psppoQGZL2jqPsLgEFDa+SgjSF5 61w7In8djZ6Nhe+N60WS1fpdOjpu7k21Oqbs2qi03FqSguXBcU+AFVUpHcMRPVbWm9a57dQhnDwo 1l5oNDi8yJTlaeAUKVqYM0+9FamPwXQg7oR2LSEZAVKRMIVURtHNkqSpZ0rSBWlGVKbzT+MNaMhZ Y7NBZyTGxstEpkglTuMzF705deY1SZNDPd7A6cHaj7UuHz58mBho7hWjC3kfN1HlsJ5iVJqbC+s7 iSBk6pV7yVT8roF5f7M2SUQY05mm5iGNUa0F09+J+62NSstHJY32ZfRQDYNE0CTa79RLUr/DNJNz //SciAQiV5MpYaoO4jkVvh/eJyOOOjxsFKR3zGJlKab1ej2ZZli/TyXnuoMNWqq5zBlRGiLT67PT PaHQXJCfo7ZPdQvPHDFqytFCKUYadDe4MkKYI9a0o5FqEIz2qDgTJxqflWvodGr992q12lGqRtiR AcIQ7zlKF+55933RAUkoN0ZErjsZtHATdN4RcRlJzmDh97qW87PBQK1m75ekUbPO4zo9wxRH6m8w 5T0PjRE4nmqXohcrWm94gwIcZZiWPSGFaKzotdLLM4LM90aFlhS2U2Kp9uO8uqlXDKMlCogKlt9p 1JAbFR012KO1516pzkqp1Fz59N7SdzMCSzNvTKHP4nWClLvPw9xbNMBcUxfB5+pCBgf4HhyVuu7h MzPXuOozxm57G5uUuiWxpJ0WjqVwg6NTjl6rnvzY8pMiFTdX1eZar9eThjoeyJvy/SadZB9GMmJE 3TgSury83DZh0qOzUXLaqw7T0dHR1tujQSMFPj1HpjJIDc/nMCMtlQBTJYaK+hndy1LryLx58aS5 A98KjsbHf7+pd6WaXPkeuJ5M9VUtzQXuUnRlbOZG7BrqyuFVBdl2xGKKEqfKaMzdzMkeLK+PjVGt i+shjnoSBx6L+q6d2Ygk9mhHb4RR194t6vp0f6m4z/NwcXGxranMNXPacKZZQ21UWj4qyausFEsy Mux654Ejg2wpJh6gVOewV2wPmTBLQx1dTHdO295fGrPr9JyRXI6CmP5jz05qzKPX7iIw+ZgSZYq5 w/heSiFX8TvVIhKtSWq6pBFzx7s968SSzCI8oeeccT+n2GsgHFM7Bme4a97pGe5NAzIMGnAd0fvQ 6daPAUM8eygh2/gZkoamYWR+P6y12IDUHqgxBKwLztVx6AjRMWSEntKyCb7cRqXlVoV6F3JpBPh3 N8NRibGXpKgp0hx5j24t5VCFxaSsE7+U6b7p2dFTpTKoA1m1IqNzEpRyjuU2pducyy7hjJBSIGYw sHftHHwZ9YRiooFyVOlivQ2U8+n1TOfn55OaGt9FQrXZWBu9xs5ypmM81qCMlWsUbnKcm9BY31n7 iffgfURlnli6GY0lyhaTiNoJMWW/Ff3coDYiteZGaZczZeYH7g33nRWrN5uHWStkL5mnSrZRabmV EBbpPDVHjLJ/4eLiYhIdpOY2M9a6VpMmDKZNnDr4nVIgv5Y92dSlb4Xtzn7XW5jDLm8vsQfMeYos 9DIimGOdTTNsXKD2XIzbfN5pJBabUyqzvsO1DtacGJEminX/3Q2yTGEmw20whtNGJug0A7Dh8DQY qV/FgA/Xt+xQpGZFp2C5f5kuTHPjU9rYo5ILMehpkqmGk+aolBTKkL1EjObLiWmj0nInOT4+noTa LOyaYK8OJaksXH+pzVuhuZvgCKNkH0PlkKnU6u9mpa17c6MZjWJCRVnpW8GYhI/eHNN/CXKb0Dtm 8mVfwmq12ml8M+EfFRhnvvCZGO0RQmvmA0aTNHb2kPlvyWDUGpnWxQYtNQS67pGMmCNTowX9OzRG bg4s4sYEjuA+4fPRMarvIxrQdZaatMj0mVNiCXFH5JfrmoYA04FL469NcUQj6agojXDmszoy7z6V ljuL52TY4zECxZQtaXgQYZCG0LKGYKVH75pKzt+RBiz5Z3Md71S6jopKKTNFwTw014jzxc0R5WjC n2dPz9wMek8EpEL2XBAaCs8WYd2IxoORlIvFNl5kga7fN8yVzXlE881NAeX68nuYYiqvnn0djJrm Bl95Rr35z+ao/hnF8mzUu6NxSY2Hjr4ZaXDvm5LI1ESphsVIKo1CpiNAp4K1UUYhc1EWHQHXh9qo tNxKSD+f+Jqqy52bLw1mSp4Ye0nmuKZME85NbY/PVB4umpZyTTxJKS3mZ3XO3J9lfwifxxDfimZ8 oEupOAVmhFRCBbHXwdEHDXIp8cPDw7FerycQaHvhNGBUROw5cf3CKbtktKm4Xeeh05JQUlTkNC5z g9UKFGIP3jUrp6E8yfKmqM21lgRnZ8SYKOvduOvIi6SippKhUXez7hzbNt+5IxAbZjqItXcrNZYM ThuVlhvlphn1aWKgIxJ+h2sR7mC3h0ZoKQ0FD3ViumUzo1FCc7Bn5shdA3LOn4fTBctCNxmRRo+W 1zDRnzuaU048dTybo833l1I57rynkneqMI3NpfIluMAGx9EB78fzZWzU/Z68z8xj5tTXHLGm9wQ/ z7SQowynL7lOJjD1fpp7toT+MtLRYxP4PaS5mRu/4PNcTM9zxKiOdmhoyiHc29sbx8fHHam03N2o GIbLnLELqaZ0SZTqjFzMw5QKt4kyxGNw+b3so0iFTnNKJbhtUd2TKoVK0cqI6SN6i04X2vtOzX1z g8LcaJrg1e77sbJOjZnsHXE6LPV9JBhzaloltNpU8kydfux+STlvdJYRX44SU2SXBs4xtZl46Uzp 4r6lucbdZOzMGJHYg22MUzRgoz+HwEsweo+6dgrZn00jhGnQ2qi03FrcLOdaBhV1HQbPhfBMCR4e zvm2gUkK14VDEzHOTf7zgXFun53/znW7qS0VOCsF4Q570rq4UdCUJqRbSbl+FsYJEfWzc81JocPU oZl3609BVT1/nYrF45CrqbEiJxrVMs42iISIO63DZ6Fxm2ucdTTsYr07871eCbRhY+WCtJ2iZCDT yAOzZqdhWKTaMagksSF4HVLNzvBsMkPMRe9zNSXO/2lIccudJXnVhGe6Ec2wSbOa3uQB0nMyvYU9 zkRhwejDA6ZMoeLDmBrJEh29i7sJ9UMjyNy8U4WJFsboM0Ye7H7mwLSqkTBNZXSRI5+5EbVWjGlG fTHucmiW371rF6aQYQE7KXcSabomwc/PUdN4/o2VfuofYm2G769+7iiGo58JLmGtzAaBaVmyPNcz GtHmfedeF0dhdY+cNJnqdkxhuqaZHLK5tPhcFNVGpWVW0uz51Jsx121t5Zu8ah7oNNhps9lEFBcP nA2Q88HpsCQ0DaGanu+diCvdHV80HuwxYFThwqoRYVZqbBJlTcbDnNwwSSXNHD1rEGb0dZMeqdGp /AkocOqkftc9MDQApF5JFCas1xn1VuARc42558SQcKZrHOHV9cv7dv0upWJTv5SbY01PlIyDQQ5G NvL8GXXo9FeBV1iwt7E3vLnW2YaYxpfvryJSpph/rrRRuYc1FddRkrc/N+mRCtVoIlNEOD/PQ+kG QXqRVCJpLjgNZEJHuUDrXpaUd+Y9UZlUWokHPA0oY4QxRx0yR+OfuJzcKGfodEpjMY3jQnSiB/Eo ZA/0Iq1Kih6tgIzkIqLJc124Lkw18hnSmAQ39NEwGMyQ0oeuJZUy5byXuh/S+bhR19BmRxhO0fLe 7Zx4AJpTc3ZQXD+sFKhBBq6ROWr2qItU+2uj0nKrSIVNhm56SmkuRwHM/zolZNgtowtueNO7WxG7 QM2hXCnS8n3w2obzOvqov19cXGzrAmVE7O3z/l07Ya9PFTyNnrIBn6PkcOonzbqpd+ZmPStwpiE9 lIp/d83J9B9M+3EOSEIwuX5jgk9PpXSNzSAHKzsOGEuFaKf4Ut+O9w/rb07NsX5lnjrXEEkHxOfy jPkEM+d7tbFm/5jZInzOai8b0JLm5dAolUPRRqXlTkbF89M9pIcprjR+2EVqU1rQS04HPEVBRhUR wcTBQx4a5VScFa+LqOWJuo6T4MXmTzKpomlq+Pxk2LU3bbLNFEnYgLKHIlGdu5DNiJJKKrFHu/7E /hdT/dvwkezSENw5w59GHLAGwboc12OMsQUV1PfX3+koeX/amCWDkeDKvK4L52RlYH2PvF8GYPB6 hjWbiYFrxj1dxn0u/ZycDjZjGlbPVGyKBNuotNyqUJ/w7PR65qgemIN3SO/Dn4ZpVaohNcLNdfK6 tyUVz+fYjJ1KMdLGNCep+M10ig2OUWxGq7m3g8+TxvzyM8nA8d8NeKDxclSR1pgd1O5HosJzStGG zhMgeZ2q36TJiK4/8B0Z1u5ueYMvnKbjXHi/S0+85Bqyi93OE993QkoyFWw6IZ4592wlAEcZKmcH ksPk9BX3gtOs3uNzs3M6Umm5s1Hx4aYyTkVyHgBuVDZp2RhZyddm5ax7UpnYCLlwbpZep0pYzJ5r drN3y8J3oodxusSRkhFM5RkSdeQcdmIbTsrL76X+FMiBBr++Y7lc7kxPpCPg2R9pKqPf2Rx0l+83 PW8aXJZINVnn8rvynBvfp50b09B4LjyNbtHusEfFxsHDvpJXb2eDRtnFcTf57u/vb0cCsAhfqdh6 t/WdxXbhyCWlV00nUxGUEY4mVG30V8tPSn/N4fkNXzWE08gST9tLCDF7WlRSPDTuNmcRkzj8BIOe Y5llqscKnJ41lR/z4pyq5xnovIa5qYwaoqIpxI2jCk+fZFqRM2+YjmEdh4qR74bGm8bXs+apaA0u oHH29xhU4UK2OaoY1Tp1aSQTI0GCOQw5nmuI5GeNZEzD2DzszHvf/R9z6DEWyF1HsUPB9S2puoYd neoP4llLM2hS+tH3xzRzygy0UWm5tdBLdG8Daw4cTlXcUAUH9hhbU4YYH0+IrNFGVsb2sF2jcHrL 0ZZnkhOaSWWZJuK5P8CFftdarKSYUkoEiC66u3cnNVNawbl5jnBizo4xGWRKN7qmUAqQufg0n4TP QTACnymlORN3GSMogz2c0jo5ORmnp6fj8PBw0qxHJb1arcaPP/44KeI7lVm1GULMuecNHWbq1qSm dW80MKS7p7NzdnY2gVEnZGPtV6Z9Hz58OJbL5Xjw4MEOL1oZ27Ozs+05dVqRUH6fVd+HiSfbqLR8 /IX//fA4RcID7/w6m8UScWKaNV6bOc3iICIoQXhTd3kadeo0SepXsfIllQm7xA05tldO9BA93wTx dNGbCs7GwkbjJmi1vWOuHTm/aEDNe5b6MVxvMrswFTLHA/g9JPJQ98dU+i6hnQx53mw24/DwcJyc nIzHjx9vlb8ZoLkPK0W0Xq+36Vn32HgdyukwPQqjOsOKufZeJz6PHYj6b4IS+E7LMO7t7Y3T09OJ Ia3xEq5f1f8vl8uxWq1mh90lVmg7Zp3+avlJktJPaWxrmtRnZeSwOVGNeD6LUWIJGVQHk2N8idry +GJTrtiLpKdJg5ca+6jEOQWQz1BKjwgpwkut7MyzxTU0EzKvyV4KGze+P6YzU8Gdc+aNeDs5OdlJ 16URvKZ7T/NNEhN0SgXSsWFfyMHBwdhsNuPi4mI8fvx4PHr0aCwWi+3vlFFxCrHuqxTvxcXF+OGH H8bZ2VkEYTCt5bk4TodR+Zq6vyZ7eo58SgH6DJUBqvXebDZjs9mMx48fj4cPH47Hjx9vyUw9IK+M J7ML19fX4/j4eKzX67Fer7dnpPaP04JuDE57tI1Ky0fFKQoXGefy+sn7NwBgLkUwx2rMdBSVH5U/ IwB2fKdxri44monXEVUpH3qRidTQlB+MqhJti5mX69A7GuRzuAOb68ZhZlZqaSAZDau77M1lZhQd e3QSVxR5vhzZpPfg32FDoSNXRimLxWJ89tln25SPodZVX0gpvDIsDx48GPv7++Pt27c7RXMaZ064 ZO0w7XevSYKFp6iNadUypMlALxaL8eDBg/HgwYMt+wLTUYSVGzXnuhLHXHhUOCmBEjdaG5WWOxXq qRwshhu7s5t9BDyA9IaMBHIKKnX22oikFI5RYPYk04wK1zkq3UFlUoeXRoOG0nUUPjeb97i+9Tuc 4EjeMvabcCiVUV9W1HzW5Ai4HsQ5JHVNeqcVEbq+VtFAqjsx+uAAN6cA56Kz6+vrsVqt4v68vr4e Dx8+HKenp+P09HT7c74jAzlML1T3cHp6OpbL5bi8vBzr9XrnHLDelOC1VLjufGf0ZUYD16Oq3kWH gNFN3c/p6el48ODB+Oyzz7aRmNNojGrTyODT09NxeXk5lsvl2Gw24+zsbCfNXY4DyUmZfmyj0nIn Yb43oaWM2EmKjt23Kd1Dj5TfnbrdXVy2Z1cKt/Lp9BbTzJJShAmRlGjazaTLmSZGLaUo66b5607p Oa+dgAY0PokI0zQr/Fw9jw2pU5u+ngvFjiBZNzCaqKKKRMfuWk5iejbDdUGjj4+PJ8SVZmVIBJke EFd/J81ORVimqOdaVvHa4BGyKRg8woiPRX/vE581KvvFYjGWy+XWIDHtZgRXAkHQMTs4OBinp6fj 4uJirFaryVqTZZrGz536bVRabl2op7dmL8usvfYwuTlrWhzrCfSoXdRnIZMK1cVRHh5Dba1InRNn sTp10TNSYurAeXQeZs9VN/stFXKiCXFB2XUj98XYANZzJSLNuiZhqClSKAVYCoVRk+/B+8Od7dwb aaKk63QGVLCWwevUv1e/TUpvGYE3V5fjPnz8+PE4ODgY79+/v7HT3pG0nQTW4hxl8N9p1LnPHRkQ nXZ4eLh1nGjI+D3u7ufgrvRcR0dH23pZnVevXWK/bqPS8pMK9WmYkkcG10YuT6/SEPRc6xDY83d6 pA6OpzvaYNgTtZJwKo7IHHe+X11d7TDVVjRDrzd1NpOQz5BeK+DUje75MGmMcDIkTqkYYZY4rpwe NCTUHq1rZk47GnZNVgVHLWXw2A/jmfPcbxWhMP1T0cNisRgnJydjuVzudONbUVc0QQOfwCG1h5fL 5Tg/Px8fPnyYIByZjrRDwTqbzwjZng3UcNq3xFBhfufjx4/HgwcPJk2KTtWlBtlEnVP3e3x8PA4O Dsbbt28nDoxTlEZ8Nk1Ly50L9fbuXWB0BOD+ECKvXJtJ3mKaYujIJJH4UTl7boUNiVNhNj72Rpmi Y62GdRdSjSSl73QM4cOpEZC/n9JQph1Ja+hhVETdufcmRU7lLbOXhbQiXHMDKOw9O6XnIWX8Pa6v KUqolIuK3WASK9i5AjUbFMsQmWYlofOurq7G8fHxzkgBQ8LnaPK9d/33ROXPvccaSpom6lHG5Peq dWJkxz2Zmn9r75DwNDmabVRabhWlMHVhgjo3MaZ57p6d7QiCns/JyUk8CHNNfO7CN/twdULTC3X9 hArMBpEd1qRpoZdHD50NZUw5uLBef2dPD6k/+DtskiNUmUa3IKNOA1ZkxtSJlRtrGRUZsJbm9+XO cg+wqt9j8d5IotS74d4jppUcGdR9MAIoyHZi1Z5T8IzCOHys1q/qC7XHCiGVagw3pTodYXNdCIPn 54qSxet/dHS0NSrcP15P3gsdu2QI+S7r3z33hk3JKaJuo9JyK/HGSnDfuYl66TsMu5xLX/Gwmi+J 30E0mRFJjnoMWTUrAD3t5OWRMdgNiUzZsWDvNJtTXvScaUSXy+UOazPRQNW8xrqJ6XL35rweAAAU 5ElEQVSYkuFzu3nVUUaKzqjkDThwvwkjV6fErHyZ+/fMdKLN0rtaLBZbBev0kGspNOppGmmKhCoK ury8nDRjJs61NAGUa29Wb/d/cH255iltygi0UFmmKXLk4l6mxFtHp8kU+zRSBgV082PLnSQ1QXGT ko/IFNqJu8u8WPbgEvmfIyaS+6VBRJ73TS+OqbQUvjNK8OCslCKbi8AMOzaJJlNBnkfu9ER9vwdg eSpi1X54T5zzYhoTKhEWxQ2ztqGu90vqkzKmibIkdV3f1PvkJkB7xxzF4M+lBlcqTs624XUYhZtQ knvfIwZsJBMAg/DeubERTOFR+de9VITkGqcjJRqkuqbnpCTY/RhjnJ2dTaLGBJYh7DmloduotHxU eDDTTAfnp5mbLsORZi6wM9wU82l8akp7WfnQM3StIPVW8B6YOmMqhoeWY4UdwdAIpoK9YcFO7aQ5 K/6Oikw4n76emd46DToVV6V3HJn4mnO5ehd/61oEP5gFt94/ARju1DfXl50COxlM6RSHWiHaUspu bmpm9aIYycU0Y+JccyovdcInuHulrhI82T0zc13rjLwddTodbToen1Onel17moM0p5HcbVRabi2r 1WrnsLt73hDJk5OTnTQE89GeqcIaQCruep47u8oTxQjTCCaN5PelQWEu3loxpn8rtBBTPfbonFrz FEKnacowm1ur0onuh3DKJa2Hx8X+//bOtqfN7gjCrhIweUF6/v9/RAQTE2yC0k9jXb6YQ+K06pfu SlVTCvb9cs7Z3dndGT7zwDrMPFu7MtvIeViZW8qHOin2ed9WWfTfOnth0OIsZNXw0WQFmMmkjpQ6 R6DLl5eXM1qVRhbaOMh8zX7vDJy8Xpoei9VTW4HfQRaDOmeFjWbGGSIdHKn105zgeuI4lbGLC/XM BBh5Ew5rdQx3KpGWfQWxuShvmM3FVm5AHlityWClgOf7a5xj5j3itbMg7oyEmRhbsFmstuaK4UEe omYVdrtoqydYaZFUG55FYrTaDnpDoH5O7l5yF56zPTo309EQVmNthizLvAY3Jfh903GnEO6MmY6y 8ZCx/bwpMJpF2c7Yjo3t01kLlgyw4ikzMztMBw0O0Li37dxapxoztybSN/DX2MU1FUc3jvQYsZsu pPED2ckYBuHmNTzhjZOFnY3oqN330OA9tkq6uMmosmVFrmG05gM7aG5Eq/w16WX/vQvgjKgZcXqw MIy/PlwIR600PwgPtvkVR+ZsajCHmu+xrSs2CrRZjRx0aW92ZuVnaGqVBjeRY+zl5eUEr7U6Fh07 nw/flaP/5rj4LtjJZh0jSym04UvypLVaIAOPFTv08Xg8kUumE9PrsO3hcSpjF2Uq7jrx8FPrTmry w43G3XopK0ptD9O5MGouLWdADUZhNB0IJBQiPiBaVsODwTrvLC7TSRGKc1bmYrTnP3wA8rNySDZm gDhH8q252YBFfDuA1cHU1DTzbqhp74N25bwZAPD98H1xdiJO8+vXr6fGCMOMfJeGsVJ058/yucfj cbPf799ATI78LTBn8kZrzRiOcibs4URLAgemDCxN9uE8A7cyM3sij11zxtGNIXmqM1bDegN/jV1c qGfE/vr6eoqMWw2E0A3lg7lJrEZI3N0QDOsClMZdTfOaXp+QgTcoN4fvkZFrc6qEt1gfMmbeipzZ nC6uu5vI2Z8bFQjrkfjPmYgLte85q9aAwXtlpGvHaz31VU2kZQ/O7qyV49pD7ut4PNZs5b3uMjpu zjHx4A2dvp0HD2r/jM6qQcWsRbmdvGWNVl7ku0smRafs2hS78dwlaU64X79+bfb7/Wa/35+9Lwc9 liZoGfk4lbE/gr/M2dXgLFPNkzqjFU+5kZm+myeqtXoyGmMkxYl2RlMuPK6up2Ug/J3AMYTNOOFs nN+DmNyonjInLEbdDB+MnktoxdkVt1VjBGCm0FpFzfvkCf+8q9bC26BPOhAeeq6B8HlQKM2F67u7 u83t7e3mn3/+ecOMbYfj9811m3e12+3OxKvotJPJNsoTCmqtMpu8I2f1rgelZsL75cH+8PCwORwO J6bidPdRYplrwXoqdC5xpN+/f9/s9/uzfWvyTQdTCWLGqYxdBH/ZMbjYS/iD0IQ5pXyo0UFwkbP2 0DRLeGiYUbjxJPHA4GHAjd0ONreD8hBqpJJsJrD+hTnD2jPj75mFubEVt1qG8fx2P8bcTYvOdmQO MbZifpNAbrUf3nNIKsPtRj64RnhIWpnM3TAKDxT0+fPnN2JkrMHYQbh1Ng7h+fn5LMtwptCohBzR 87mbPmVVa/FsSqslkT/tcDicKPvZiBIjUtCGOzm/RHnhtie4rv2/p6V47CKLTrVZcx1VJrqxahxh AEeqxN6pYuiDnIcXoSwOH2azu7vKGiw88BMJEu5qFPQsoK6IBE2D0XRcmLmwBmPoK0X1RgbYDhvP 1TAy5/PN37gttdW9jPU3ZgCvg0bPboeXKfhWz2EtwvU7yukacv348ePmx48fm7u7u82XL19OBJOW JYhz8exVYLDdbnfSE+EMCjPhFfsyHaeHR1vTiB0e/5ZriXLefI+UEt7v95vtdnuaQzI86ayK6+1w OGz2+/3m6enpVG9h6zfftYkrh6Zl7K8zlTb34Y3f4IrGjOsMx104TfAri5zUJw3L5YHP6JrF3fZd HLr0oCcLudw87jQivbkHGlcwiCNBXq+hQRfzf4dj81pcEKdzofPkEKPfueFCOnUXrB3RN+fVoDI3 RPjvDPd5mn2/35+6lm5vb2sgwfeQTPV4PG6enp42Dw8Pp2zpPcLLRjbZJKvfI8r0PbHpws9/1SyS 79/tdmdZWhtIzjVYpTMSyi7gO4h0MELus8lUxv4K/uK/faA0nW0ztrZ22SatuuISc7GVWYwPeDuc YNhsJw0MksjXAmOM+lpnmeFASg5zUNP3xw3u7IIyuIzI7Rz4/aaN97Omg+c8RpuM5+cZPzcVjp1g I2lctVTznqlwyIyWMKi/t7V05+dPT08nGOfTp081k8j/TkH+8fHx7GDl9fq5t0zOUsOE1SycZcjU dUlze2VdpEmlTbW/vr5uHh8fNx8+fDhJTbBWRig5mVnULXe73ZsZMM/INAkGMhpMpjJ2sVOxw7D+ O4uhphdpGvSeLOY8BfFpOxMy8Toa40GZ/yZk4gyK0SU/r9HQuCMq2L6VInkfHNxz26UjfWcMK2jB MB47zjy86c/gO/NUOKN4z+Y0MbQ2SGjsvgmPuQvK90hIybWcVhug4micSA7M+/v7zbdv3zbX19cn NmNnsZnHyMH45cuXN8GOhbV4f5SHdt0mv5914on4BqOaUdjZZp4b6xp8zvf39ye49urq6jScyfd9 OBxORXlCbOwyfK/tmO+htZaPUxn7I2uCPsZbedBxAp5mQa8m78tJZg95eUCvwS+8LkMKPBxXDMVN jpeb3RPbOVTYypuDLveQGkKTCXCjAw/fhsGvivLGy03vYdjJ76Cx6vJ58Z4N+5hdgd/FeSJmZ+7a azUhNyWYJsjtsrmeROspQHu98rPcpeg6BqN984IRFko23GCyld5J4zljwZ9O0GSiXifcF8fj8VRr 4VqL6Be/j6Sg7uJynczr01nsOJWxPzLPCfhASSHfmQwXfivUk2tp1X6axc7vcI2Bh1+G1jx34cg+ 0ICVB93l1aA9Y845wG5ubs6iTB545oUy1Ti1K4Lp5xBpNDGsQ7lry05hNd9iVmN2TdFBU5isZa52 VE2mwDTxzi7bgZXP5YGf58Xr5kCknc/19fVpINDSAk0Yy229LNi3YIWw18+fP88GML1/XFvxuiUU 6D3hIUcOC3tI2Jk4g45kMCtVUv9tMh1m4ISFCfWNUxn7Y+OCMgcQN0cOI0dmPiSaWmCr3ZiiwtlF 60RacX61CJEkgr42Y/qN1I+UHuYEax1W1jFvBIO8bg6XMtJcdWCZ8JF4O98RnZ6HDckX5aaIphhI h9Ecit+Ds8B8Hh0/6xJmCGiRdGs3t3gZr7VR4HDOaqXGyW4wzw7xgGW9LJkOHb8zLsvy5rlTJthw c7Ki1mK+kpDm/XiokkEPBzhX78Ut7pOpjF0MfRnvb0NrTYiqTaI7bW5Rjqk5SIxnOMRkgIYZVu2u +f+T2TTBLEN9jsYTJVOjozm593Q+uPkJ47gA73ZmDz3ygGgFYUbcK6ZbRvGMYEkBQgfEoVQX8u3s 2BHnJgZ2pRmCdGDj7+C74yAe62ouulvyOc/M7AjOzKwjEsfP3/OadnswnUucRqhRWhMDpRn83o0K 8N0REmOnH0koec+uUbZaH7NEzmFNpjJ2kVFDxKm26x38+Sqi9mFnrQ4eKD5kmLq7kE64gYeFZWvb oeTNx43NCN2dPHSMrQ0238vOsjZ70Zy3781dcO15M/vgM3L02kTKDGl51sLU/MzKSGTYakTk2bJc gWlOVg5zBY/SObgBw+JoDlA8EJnZlub8PVHurGClCuruR65JZ1v5HAYSdEquzZA2h2uHA6cOXDjr 4z1qQljX0VbsytP9NXaRmeKc8yWNeZb/Nrsq6ytp+3SknI1J4SnyIRl3T+3BjojX7gylTSqnSyd/ F0fAzc7DxwevHW/UKdmuaRZhMwywISDP2BueEa4dGB0w20cd9VpalhGuD8DUnqy+yOeQDIE6MHkm aYW9ubk5I1n0fTgTJKxop+io3dARISs+j9wLn6cPSDsHd22tOvLeUwy1Q2zaQXyXufcc/nREbilu QmTJoLLHPKhJFcqrq6uz63E9xto8hsr+G+qP41T+D+Ev1zK4yNmpxc3jwibrEA2KagqA7fsbBYtb gfOd6eLh9bkd1TUiTmB7BsUdUu1gsHql5YutUW7W4Qa5mJW4UZwbq189Ix5AVEp0tsB2ZTcy0GH6 MGwOvHXr+bnkgGtaIIaWVhTzDALYLeX6jR1Bk7ZmINAo+V1DIZsDp9FdcG/U964/OvslH9jvKP35 b1+D1zE1ZRwcuebXmK7bUPA4lbHfmju3eMC1grSVA5mKr3QhuJF8MLmLqU33s7DsIigPhsBn+V3X A+gkTADImQNGyW2ojodp04Kxs+TsQYueuaGZTZig0mqY7vry7ISdGqNcDoU6AzRpJiN4Qlp8B+4S dBbId0rIipG2mzhYuLaSZVpl+dl+D8xG3zuwDdMy2nfWk2djx7cSPePaIdURr91CbMwck6E1sS3X It3xx2zO+kWGwtzhaS6wcSpjFzkVF/vMpmpCyBwOhqbaxLAxcc57GN5gdOSMYiUGZklUcmIRdnLr Z37X+LyLkm71JHTUoBIqPbKGYw4xOmK+A9Y0+EyaE2m07DzkSOJIaV/Chg4KLAlg6npq3XOozhTy LtgbJiLtjZ+nnQq/2zARr8cH5uFweEOR4uws98wMlGu9yQHz91oTQuomhJLdIGJWCq4J7pFGv9Mg bGdsrgt5cNcOllT7XB+r7xynMvZuTaVxeLXhRtdE2qHHlLxJnBr/ZW0mJIs8nA+Hw1n0Z4VCH/jE 482wy8PYrK9Wm+Rma5r1xuiJlbOryxAInUsbNuR8xHv8WK4tuXDPzKjN5NCZNFqdBmNtNpvT+3Dw 4ClwQoWHw+HswHcWuIL6TOPvegadNGlv7KCauSPKgmp+bmSutuaM74NZves5hB5XEsRGD9xu3FQa LePtAM332ubNmlqo1/44lbHfmrVKrBlhChQe7oYvGA35cHfk484jfw6dTdNMYfutNR9M6UJIyYee 20hXhVbDA2xbbZvyeDy+0eNg/YbNEXxObgYwbOcajCfeG529a0yWIc7PM5Ht7+U62G63Z/dK0sZG rsjnaSimOTUHBisJ4dahtWJOyH9yf8mymEU09obGQtxE2dzEsnKSfPZsLmCXWiNTbZCpW7wJEbKB hN/JTkfvJw8Stzm0cSpjFzkWR/7GXQmHeLHz38Shjam3rMiHrWkjHAnyEOD1MILzHIGZkT0175mT pqfhzWgnwL5+1wva4KczDB/CiTodPXK+xZ/P58Lotd0DcXlO2rvw2xofSDnfalZ+h03ugM8+nYDO vmLb7fZNlxLZB5xVeY1a2IzrnuuiNbEY6vIQrPdLY2d2Dczs2X7ubvs1swJVLbMW2K1pKNYqok17 3ggBfz5OZeyyF45MhMSRjvh4YLUpe2O6hMja1Ds3aZvadS2nUaqYtJK4eP6dDihPFrtITXVHXlcK 22yrdecMZ318WHiwtGHh7jKi1np+7kyP3Vv+/Bz6hKQMF7kob7VGa8nnv9kEYAiVjp+HYYO78juW A6Czz2GZtuV2QDLKd6TvLMrrjRknmzR4PVyPPqxZh7Tj5/6xUirrWyu1UtfZQu2TTIst33TEZmUg 3EjnaomG/C4JOPnMxqmM/bGx+MmhKdObuOuHm4uUH43OxGJC7NIyjNI60dwIsJoD8WAlnZGj9RUF hVtnV4OKjRrdsKAHLs1ay0jb0Emre7VouhVo8z5T/2gqlz7MeKDlfgwZ+lmsOrYYfKxqOj5IDTlx VibPKI7dxJrWy3Gm49meRuVifZyWIdNJt3dh9cz3pJPj0Oxs3cbNdWx4z9mWYeVWyKd8d4Prck3c 01OoH7vIvNgT5Vo7gm2QnKloqbqL3tw4TTXPvEtNW8TFS0MvTZeFxVJuKkdghmyobRGCvQaptSEy Mh03csH8Xag7CKk06McQS7t3v8sW6RJmohyB6TnYStuyoO12e5Zp2DmwFuLAgNdsaIbsxn6PzJw4 Z+O6idvFW/2j/R7XhWeJvK7YPu0BSmY0Jj51zc/rgdAn1xuF1dozpjMiq4GHFx0subGA+9vko1Oo H/urmgo3T+v5d+2DRXUXIx2pt3mNRo3RokxOtzuDsWqhaUxYg3Gm4kjfE90uvLquxM2ZYUFj2q7X GBKzkqWHUN1MYRnY1dT48/Pz2RxDG1wlF1VrwHDwYGeVWoyvmxmTZ3nMoBy4xjh++0xDi3awgbhY CLdzJPM0i/eNut68ap5FMQEju8/Ykut372faINFILXiNMgCjA3YHIvce4VozUpuOxwwDLaD6G/vX r/8UQBsbGxsbG0uQMY9gbGxsbGycytjY2NjYOJWxsbGxsXEqY2NjY2Nj41TGxsbGxsapjI2NjY2N UxkbGxsbG6cyNjY2NjY2TmVsbGxsbJzK2NjY2Ng4lbGxsbGxsXEqY2NjY2P/E/s3OQomxQFA/KMA AAAASUVORK5CYII= " preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg></td>
</tr>
<tr>
<td align="center">
        (
      1)
    </td>
<td align="center">
        (
      2)
    </td>
</tr>
</table>
<div style="margin-bottom:30px;text-align:center;" class="caption">
(1) Several metrology objects and their contours are shown in blue.
(2) The new reference system for the metrology model is placed in the
center of the image.
As a consequence, the positions and orientations of the metrology objects
are moved into the reverse direction. The resulting contours of the
metrology objects are shown in blue.
</div>
</div>

<p><i>Default value:</i> <i>[0, 0, 0]</i>
</p>
</dd>
</dl>
<h3>Scaling the results</h3>
<p>The results of the measurement queried by
<a href="get_metrology_object_result.html"><code><span data-if="hdevelop" style="display:inline">get_metrology_object_result</span><span data-if="c" style="display:none">get_metrology_object_result</span><span data-if="cpp" style="display:none">GetMetrologyObjectResult</span><span data-if="com" style="display:none">GetMetrologyObjectResult</span><span data-if="dotnet" style="display:none">GetMetrologyObjectResult</span><span data-if="python" style="display:none">get_metrology_object_result</span></code></a> can be scaled by setting a scaling
factor.
</p>
<dl class="generic">

<dt><b><i><span data-if="hdevelop" style="display:inline">'scale'</span><span data-if="c" style="display:none">"scale"</span><span data-if="cpp" style="display:none">"scale"</span><span data-if="com" style="display:none">"scale"</span><span data-if="dotnet" style="display:none">"scale"</span><span data-if="python" style="display:none">"scale"</span></i>:</b></dt>
<dd>
<p>

The parameter <i><span data-if="hdevelop" style="display:inline">'scale'</span><span data-if="c" style="display:none">"scale"</span><span data-if="cpp" style="display:none">"scale"</span><span data-if="com" style="display:none">"scale"</span><span data-if="dotnet" style="display:none">"scale"</span><span data-if="python" style="display:none">"scale"</span></i> must be specified as the ratio of the
<i>desired unit</i> to the <i>original unit</i>.
If no camera parameters are given, the default unit is pixel.
</p>
<p>If <i><span data-if="hdevelop" style="display:inline">'camera_param'</span><span data-if="c" style="display:none">"camera_param"</span><span data-if="cpp" style="display:none">"camera_param"</span><span data-if="com" style="display:none">"camera_param"</span><span data-if="dotnet" style="display:none">"camera_param"</span><span data-if="python" style="display:none">"camera_param"</span></i> and <i><span data-if="hdevelop" style="display:inline">'plane_pose'</span><span data-if="c" style="display:none">"plane_pose"</span><span data-if="cpp" style="display:none">"plane_pose"</span><span data-if="com" style="display:none">"plane_pose"</span><span data-if="dotnet" style="display:none">"plane_pose"</span><span data-if="python" style="display:none">"plane_pose"</span></i> are set, the original
unit is determined by the coordinates of the calibration object.
Standard HALCON calibration plates are defined in metric coordinates. If it
was used for the calibration, the desired unit can be set directly.
The relation of units to scaling factors is given in the following table:
</p>
<div style="text-align:center"><table style="margin-left:auto;margin-right:auto" class="table">
<col span="1">
<col span="1">
<tr>
<th style="text-align:left">
Unit         </th>
<th style="text-align:left"> Scaling factor </th>
</tr>
<tr>
<td style="text-align:left">
m            </td>
<td style="text-align:left"> 1          </td>
</tr>
<tr>
<td style="text-align:left">
dm           </td>
<td style="text-align:left"> 10        </td>
</tr>
<tr>
<td style="text-align:left">
cm           </td>
<td style="text-align:left"> 100       </td>
</tr>
<tr>
<td style="text-align:left">
mm           </td>
<td style="text-align:left"> 1000      </td>
</tr>
<tr>
<td style="text-align:left">
um, microns  </td>
<td style="text-align:left">  1e6 
</td>
</tr>
</table></div>

<p><i>List of values:</i> <i>1.0</i>, <i>0.1</i>, <i><span data-if="hdevelop" style="display:inline">'m'</span><span data-if="c" style="display:none">"m"</span><span data-if="cpp" style="display:none">"m"</span><span data-if="com" style="display:none">"m"</span><span data-if="dotnet" style="display:none">"m"</span><span data-if="python" style="display:none">"m"</span></i>,
<i><span data-if="hdevelop" style="display:inline">'cm'</span><span data-if="c" style="display:none">"cm"</span><span data-if="cpp" style="display:none">"cm"</span><span data-if="com" style="display:none">"cm"</span><span data-if="dotnet" style="display:none">"cm"</span><span data-if="python" style="display:none">"cm"</span></i>, <i><span data-if="hdevelop" style="display:inline">'mm'</span><span data-if="c" style="display:none">"mm"</span><span data-if="cpp" style="display:none">"mm"</span><span data-if="com" style="display:none">"mm"</span><span data-if="dotnet" style="display:none">"mm"</span><span data-if="python" style="display:none">"mm"</span></i>,  <i><span data-if="hdevelop" style="display:inline">'microns'</span><span data-if="c" style="display:none">"microns"</span><span data-if="cpp" style="display:none">"microns"</span><span data-if="com" style="display:none">"microns"</span><span data-if="dotnet" style="display:none">"microns"</span><span data-if="python" style="display:none">"microns"</span></i>,
<i><span data-if="hdevelop" style="display:inline">'um'</span><span data-if="c" style="display:none">"um"</span><span data-if="cpp" style="display:none">"um"</span><span data-if="com" style="display:none">"um"</span><span data-if="dotnet" style="display:none">"um"</span><span data-if="python" style="display:none">"um"</span></i> </p>
<p>
<i>Default value:</i> <i>1.0</i>
</p>
</dd>
</dl>
<h2 id="sec_execution">运行信息</h2>
<ul>
  <li>多线程类型:可重入(与非独占操作符并行运行)。</li>
<li>多线程作用域:全局(可以从任何线程调用)。</li>
  <li>未经并行化处理。</li>
</ul>
<p>This operator modifies the state of the following input parameter:</p>
<ul><li><a href="#MetrologyHandle"><span data-if="hdevelop" style="display:inline">MetrologyHandle</span><span data-if="c" style="display:none">MetrologyHandle</span><span data-if="cpp" style="display:none">MetrologyHandle</span><span data-if="com" style="display:none">MetrologyHandle</span><span data-if="dotnet" style="display:none">metrologyHandle</span><span data-if="python" style="display:none">metrology_handle</span></a></li></ul>
<p>During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.</p>
<h2 id="sec_parameters">参数表</h2>
  <div class="par">
<div class="parhead">
<span id="MetrologyHandle" class="parname"><b><code><span data-if="hdevelop" style="display:inline">MetrologyHandle</span><span data-if="c" style="display:none">MetrologyHandle</span><span data-if="cpp" style="display:none">MetrologyHandle</span><span data-if="com" style="display:none">MetrologyHandle</span><span data-if="dotnet" style="display:none">metrologyHandle</span><span data-if="python" style="display:none">metrology_handle</span></code></b> (input_control, state is modified)  </span><span>metrology_model <code>→</code> <span data-if="dotnet" style="display:none"><a href="HMetrologyModel.html">HMetrologyModel</a>, </span><span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">HHandle</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (handle)</span><span data-if="dotnet" style="display:none"> (<i>IntPtr</i>)</span><span data-if="cpp" style="display:none"> (<i>HHandle</i>)</span><span data-if="c" style="display:none"> (<i>handle</i>)</span></span>
</div>
<p class="pardesc">Handle of the metrology model.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="GenParamName" class="parname"><b><code><span data-if="hdevelop" style="display:inline">GenParamName</span><span data-if="c" style="display:none">GenParamName</span><span data-if="cpp" style="display:none">GenParamName</span><span data-if="com" style="display:none">GenParamName</span><span data-if="dotnet" style="display:none">genParamName</span><span data-if="python" style="display:none">gen_param_name</span></code></b> (input_control)  </span><span>attribute.name <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">str</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (string)</span><span data-if="dotnet" style="display:none"> (<i>string</i>)</span><span data-if="cpp" style="display:none"> (<i>HString</i>)</span><span data-if="c" style="display:none"> (<i>char*</i>)</span></span>
</div>
<p class="pardesc">Name of the generic parameter.</p>
<p class="pardesc"><span class="parcat">Default:
      </span>
    <span data-if="hdevelop" style="display:inline">'camera_param'</span>
    <span data-if="c" style="display:none">"camera_param"</span>
    <span data-if="cpp" style="display:none">"camera_param"</span>
    <span data-if="com" style="display:none">"camera_param"</span>
    <span data-if="dotnet" style="display:none">"camera_param"</span>
    <span data-if="python" style="display:none">"camera_param"</span>
</p>
<p class="pardesc"><span class="parcat">List of values:
      </span><span data-if="hdevelop" style="display:inline">'camera_param'</span><span data-if="c" style="display:none">"camera_param"</span><span data-if="cpp" style="display:none">"camera_param"</span><span data-if="com" style="display:none">"camera_param"</span><span data-if="dotnet" style="display:none">"camera_param"</span><span data-if="python" style="display:none">"camera_param"</span>, <span data-if="hdevelop" style="display:inline">'plane_pose'</span><span data-if="c" style="display:none">"plane_pose"</span><span data-if="cpp" style="display:none">"plane_pose"</span><span data-if="com" style="display:none">"plane_pose"</span><span data-if="dotnet" style="display:none">"plane_pose"</span><span data-if="python" style="display:none">"plane_pose"</span>, <span data-if="hdevelop" style="display:inline">'reference_system'</span><span data-if="c" style="display:none">"reference_system"</span><span data-if="cpp" style="display:none">"reference_system"</span><span data-if="com" style="display:none">"reference_system"</span><span data-if="dotnet" style="display:none">"reference_system"</span><span data-if="python" style="display:none">"reference_system"</span>, <span data-if="hdevelop" style="display:inline">'scale'</span><span data-if="c" style="display:none">"scale"</span><span data-if="cpp" style="display:none">"scale"</span><span data-if="com" style="display:none">"scale"</span><span data-if="dotnet" style="display:none">"scale"</span><span data-if="python" style="display:none">"scale"</span></p>
</div>
  <div class="par">
<div class="parhead">
<span id="GenParamValue" class="parname"><b><code><span data-if="hdevelop" style="display:inline">GenParamValue</span><span data-if="c" style="display:none">GenParamValue</span><span data-if="cpp" style="display:none">GenParamValue</span><span data-if="com" style="display:none">GenParamValue</span><span data-if="dotnet" style="display:none">genParamValue</span><span data-if="python" style="display:none">gen_param_value</span></code></b> (input_control)  </span><span>attribute.value(-array) <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">MaybeSequence[Union[str, float, int]]</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (string / </span><span data-if="hdevelop" style="display:inline">real / </span><span data-if="hdevelop" style="display:inline">integer)</span><span data-if="dotnet" style="display:none"> (<i>string</i> / </span><span data-if="dotnet" style="display:none">double / </span><span data-if="dotnet" style="display:none">int / </span><span data-if="dotnet" style="display:none">long)</span><span data-if="cpp" style="display:none"> (<i>HString</i> / </span><span data-if="cpp" style="display:none">double / </span><span data-if="cpp" style="display:none">Hlong)</span><span data-if="c" style="display:none"> (<i>char*</i> / </span><span data-if="c" style="display:none">double / </span><span data-if="c" style="display:none">Hlong)</span></span>
</div>
<p class="pardesc">Value of the generic parameter.</p>
<p class="pardesc"><span class="parcat">Default:
      </span>[]</p>
<p class="pardesc"><span class="parcat">Suggested values:
      </span>1.0, 0.1, <span data-if="hdevelop" style="display:inline">'m'</span><span data-if="c" style="display:none">"m"</span><span data-if="cpp" style="display:none">"m"</span><span data-if="com" style="display:none">"m"</span><span data-if="dotnet" style="display:none">"m"</span><span data-if="python" style="display:none">"m"</span>, <span data-if="hdevelop" style="display:inline">'cm'</span><span data-if="c" style="display:none">"cm"</span><span data-if="cpp" style="display:none">"cm"</span><span data-if="com" style="display:none">"cm"</span><span data-if="dotnet" style="display:none">"cm"</span><span data-if="python" style="display:none">"cm"</span>, <span data-if="hdevelop" style="display:inline">'mm'</span><span data-if="c" style="display:none">"mm"</span><span data-if="cpp" style="display:none">"mm"</span><span data-if="com" style="display:none">"mm"</span><span data-if="dotnet" style="display:none">"mm"</span><span data-if="python" style="display:none">"mm"</span>, <span data-if="hdevelop" style="display:inline">'microns'</span><span data-if="c" style="display:none">"microns"</span><span data-if="cpp" style="display:none">"microns"</span><span data-if="com" style="display:none">"microns"</span><span data-if="dotnet" style="display:none">"microns"</span><span data-if="python" style="display:none">"microns"</span>, <span data-if="hdevelop" style="display:inline">'um'</span><span data-if="c" style="display:none">"um"</span><span data-if="cpp" style="display:none">"um"</span><span data-if="com" style="display:none">"um"</span><span data-if="dotnet" style="display:none">"um"</span><span data-if="python" style="display:none">"um"</span></p>
</div>
<h2 id="sec_result">结果</h2>
<p>如果参数均有效，算子
<code><span data-if="hdevelop" style="display:inline">set_metrology_model_param</span><span data-if="c" style="display:none">set_metrology_model_param</span><span data-if="cpp" style="display:none">SetMetrologyModelParam</span><span data-if="com" style="display:none">SetMetrologyModelParam</span><span data-if="dotnet" style="display:none">SetMetrologyModelParam</span><span data-if="python" style="display:none">set_metrology_model_param</span></code> 返回值 <TT>2</TT> (
      <TT>H_MSG_TRUE</TT>)
    . If
necessary, an exception is raised.</p>
<h2 id="sec_predecessors">可能的前置算子</h2>
<p>
<code><a href="create_metrology_model.html"><span data-if="hdevelop" style="display:inline">create_metrology_model</span><span data-if="c" style="display:none">create_metrology_model</span><span data-if="cpp" style="display:none">CreateMetrologyModel</span><span data-if="com" style="display:none">CreateMetrologyModel</span><span data-if="dotnet" style="display:none">CreateMetrologyModel</span><span data-if="python" style="display:none">create_metrology_model</span></a></code>, 
<code><a href="set_metrology_model_image_size.html"><span data-if="hdevelop" style="display:inline">set_metrology_model_image_size</span><span data-if="c" style="display:none">set_metrology_model_image_size</span><span data-if="cpp" style="display:none">SetMetrologyModelImageSize</span><span data-if="com" style="display:none">SetMetrologyModelImageSize</span><span data-if="dotnet" style="display:none">SetMetrologyModelImageSize</span><span data-if="python" style="display:none">set_metrology_model_image_size</span></a></code>
</p>
<h2 id="sec_successors">可能的后置算子</h2>
<p>
<code><a href="add_metrology_object_generic.html"><span data-if="hdevelop" style="display:inline">add_metrology_object_generic</span><span data-if="c" style="display:none">add_metrology_object_generic</span><span data-if="cpp" style="display:none">AddMetrologyObjectGeneric</span><span data-if="com" style="display:none">AddMetrologyObjectGeneric</span><span data-if="dotnet" style="display:none">AddMetrologyObjectGeneric</span><span data-if="python" style="display:none">add_metrology_object_generic</span></a></code>, 
<code><a href="get_metrology_object_model_contour.html"><span data-if="hdevelop" style="display:inline">get_metrology_object_model_contour</span><span data-if="c" style="display:none">get_metrology_object_model_contour</span><span data-if="cpp" style="display:none">GetMetrologyObjectModelContour</span><span data-if="com" style="display:none">GetMetrologyObjectModelContour</span><span data-if="dotnet" style="display:none">GetMetrologyObjectModelContour</span><span data-if="python" style="display:none">get_metrology_object_model_contour</span></a></code>
</p>
<h2 id="sec_see">参考其它</h2>
<p>
<code><a href="set_metrology_object_param.html"><span data-if="hdevelop" style="display:inline">set_metrology_object_param</span><span data-if="c" style="display:none">set_metrology_object_param</span><span data-if="cpp" style="display:none">SetMetrologyObjectParam</span><span data-if="com" style="display:none">SetMetrologyObjectParam</span><span data-if="dotnet" style="display:none">SetMetrologyObjectParam</span><span data-if="python" style="display:none">set_metrology_object_param</span></a></code>, 
<code><a href="align_metrology_model.html"><span data-if="hdevelop" style="display:inline">align_metrology_model</span><span data-if="c" style="display:none">align_metrology_model</span><span data-if="cpp" style="display:none">AlignMetrologyModel</span><span data-if="com" style="display:none">AlignMetrologyModel</span><span data-if="dotnet" style="display:none">AlignMetrologyModel</span><span data-if="python" style="display:none">align_metrology_model</span></a></code>, 
<code><a href="get_metrology_model_param.html"><span data-if="hdevelop" style="display:inline">get_metrology_model_param</span><span data-if="c" style="display:none">get_metrology_model_param</span><span data-if="cpp" style="display:none">GetMetrologyModelParam</span><span data-if="com" style="display:none">GetMetrologyModelParam</span><span data-if="dotnet" style="display:none">GetMetrologyModelParam</span><span data-if="python" style="display:none">get_metrology_model_param</span></a></code>
</p>
<h2 id="sec_module">模块</h2>
<p>
2D 度量</p>
<!--OP_REF_FOOTER_START-->
<hr>
<div class="indexlink">
<a href="index_classes.html"><span data-if="dotnet" style="display:none;">类别</span><span data-if="cpp" style="display:none;">类别</span></a><span data-if="dotnet" style="display:none;"> | </span><span data-if="cpp" style="display:none;"> | </span><a href="index_by_name.html">算子列表</a>
</div>
<div class="footer">
<div class="copyright">HALCON算子参考手册 Copyright © 2015-2023 51Halcon</div>
</div>
</div>
</body>
</html>
